91 AI Architect jobs in South Africa

We are seeking an accomplished AI Solutions Architect with a proven track record in engaging senior executives and designing sophisticated AI architectures within cloud environments. This role requires blending advanced technical proficiency with strategic business insight to develop AI-powered data solutions that drive industry innovation and deliver measurable value for our clients. A strong emphasis on both traditional machine learning and emerging Generative AI capabilities, including large language models, retrieval-augmented generation, and AI powered automation. Key responsibilities include architecting, implementing, and delivering AI-driven data solutions across diverse sectors. This consulting position demands comprehensive technical expertise, strong commercial understanding, and the ability to articulate complex data and AI concepts into actionable strategies that produce tangible business results. Additional duties involve supporting proposal development, contributing to business growth initiatives, and facilitating knowledge transfer to enhance internal AI and Data capabilities. Ideal candidates will thrive in fast-paced environments, demonstrate exceptional skills in communicating the business relevance of advanced AI solutions, and possess a keen interest in elevating next-generation consulting services. Key Responsibilities Client Delivery & Solution Implementation Lead the end-to-end design and delivery of AI-driven data solutions for clients, from discovery to deployment. Translate client business problems into AI/ML and data architecture strategies. Collaborate with client stakeholders, data engineers, and data scientists to support solution implementation. Ensure projects meet best-practice standards for compliance, governance, and ethical AI. Capability Building & Knowledge Sharing Mentor and coach consulting teams, building internal AI and data solution delivery skills. Develop reference architectures, templates, and accelerators. Deliver internal training to grow organisational expertise. Pre-Sales & Proposal Support Co-create proposals and solution blueprints with sales teams. Present confidently to senior client stakeholders. Identify and shape new AI-driven opportunities in client engagements. Thought Leadership & Market Positioning Monitor developments in AI, ML, and data technologies, with an emphasis on their practical uses in business. Represent the organisation at industry events, client forums, and professional platforms. Publish insights, case studies, and articles that demonstrate experience in AI and data consulting. Required Skills Consulting & Delivery Leadership Proven experience delivering AI and data solutions within consulting and professional services environments. Skilled in leading multi-disciplinary teams across AI and data engagements. Experienced in client discovery workshops, proposal development, and executive-level presentations. Solution Architecture & Technical Expertise Expert in designing AI-enabled data platforms in cloud environments, particularly Azure. Strong background in modern data platforms including Databricks, Synapse, and Snowflake. Proficient in data architecture, ingestion, transformation, and storage solutions optimized for AI readiness. Deep understanding of data governance, compliance, and model risk management. AI & ML Engineering Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, and Scikit-learn. Skilled in MLOps practices including deployment, monitoring, versioning, and governance using Azure ML, MLFlow, and Kubeflow. Advanced expertise in generative AI, LLMs, RAG architectures, and vector databases. Proficient in hybrid search, multi-modal retrieval, and integrating vector databases into complex workflows. Familiar with design patterns for autonomous AI agents that collaborate to achieve business goals. Committed to embedding fairness, transparency, and compliance into AI solution architectures. Business Acumen & Communication Adept at translating complex technical concepts into business language and aligning AI solutions with client value. Strong communication, facilitation, and stakeholder engagement skills. Comfortable contributing to pre-sales activities including solution proposals, estimates, and client presentations. Consulting Behaviours Client-Centric Mindset: Anticipates client needs, aligning solutions with strategic priorities. Commercial Awareness: Balances scope, delivery quality, and profitability. Influencing Skills: Builds trusted relationships across organisational levels. Adaptability: Thrives in varied industries, shifting priorities, and evolving technologies. Collaboration: Works seamlessly with cross-functional and multi-disciplinary teams. Analytical Thinking: Applies structured problem-solving to design innovative, pragmatic solutions. Knowledge Sharing: Actively uplifts organisational capability. Success Measures AI/Data solutions delivered that meet client expectations and deliver measurable value Contribution to winning new client engagements through proposals and pre-sales support Demonstratable uplift in team AI/Data capability through mentoring and training Positive client feedback and repeat engagements Successful delivery of GenAI-powered client solutions that demonstrate measurable business impact. Adoption of GenAI best practices within the internal consulting team. Education & Experience Bachelors degree in Computer Science, Data Science, Artificial Intelligence Masters degree in AI, Data Science or Business Analytics (Advantageous) Certifications in Azure Data & AI solutions, AWS Data & AI Solutions Industry specific in AI solutioning (financial services, retail, telecommunications) 7 years total in technology or data-related roles, with at least: 3 years in AI/ML solution delivery, including model deployment. 12 years hands-on with Generative AI (LLMs, RAG, orchestration). 3 years in a consulting, client-facing, or solution architect capacity. Project Experience Designed and delivered enterprise AI platforms or AI-enabled products. Built and deployed LLM-powered assistants, search/retrieval systems, or document automation workflows. Guided clients on AI adoption roadmaps, governance, and ethics. Integrated AI into existing business processes and applications Please Note: As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification. iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals

We are seeking an accomplished AI Solutions Architect with a proven track record in engaging senior executives and designing sophisticated AI architectures within cloud environments. This role requires blending advanced technical proficiency with strategic business insight to develop AI-powered data solutions that drive industry innovation and deliver measurable value for our clients. A strong emphasis on both traditional machine learning and emerging Generative AI capabilities, including large language models, retrieval-augmented generation, and AI powered automation.

Key responsibilities include architecting, implementing, and delivering AI-driven data solutions across diverse sectors. This consulting position demands comprehensive technical expertise, strong commercial understanding, and the ability to articulate complex data and AI concepts into actionable strategies that produce tangible business results. Additional duties involve supporting proposal development, contributing to business growth initiatives, and facilitating knowledge transfer to enhance internal AI and Data capabilities.

Ideal candidates will thrive in fast-paced environments, demonstrate exceptional skills in communicating the business relevance of advanced AI solutions, and possess a keen interest in elevating next-generation consulting services. Key Responsibilities

Client Delivery & Solution Implementation

• Lead the end-to-end design and delivery of AI-driven data solutions for clients, from discovery to deployment.
• Translate client business problems into AI/ML and data architecture strategies.
• Collaborate with client stakeholders, data engineers, and data scientists to support solution implementation.
• Ensure projects meet best-practice standards for compliance, governance, and ethical AI.

Capability Building & Knowledge Sharing

• Mentor and coach consulting teams, building internal AI and data solution delivery skills.
• Develop reference architectures, templates, and accelerators.
• Deliver internal training to grow organisational expertise.

Pre-Sales & Proposal Support

• Co-create proposals and solution blueprints with sales teams.
• Present confidently to senior client stakeholders.
• Identify and shape new AI-driven opportunities in client engagements.

Thought Leadership & Market Positioning

• Monitor developments in AI, ML, and data technologies, with an emphasis on their practical uses in business.
• Represent the organisation at industry events, client forums, and professional platforms.
• Publish insights, case studies, and articles that demonstrate experience in AI and data consulting.

Required Skills

Consulting & Delivery Leadership

• Proven experience delivering AI and data solutions within consulting and professional services environments.
• Skilled in leading multi-disciplinary teams across AI and data engagements.
• Experienced in client discovery workshops, proposal development, and executive-level presentations.

Solution Architecture & Technical Expertise

• Expert in designing AI-enabled data platforms in cloud environments, particularly Azure.
• Strong background in modern data platforms including Databricks, Synapse, and Snowflake.
• Proficient in data architecture, ingestion, transformation, and storage solutions optimized for AI readiness.
• Deep understanding of data governance, compliance, and model risk management.

AI & ML Engineering

• Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Skilled in MLOps practices including deployment, monitoring, versioning, and governance using Azure ML, MLFlow, and Kubeflow.
• Advanced expertise in generative AI, LLMs, RAG architectures, and vector databases.
• Proficient in hybrid search, multi-modal retrieval, and integrating vector databases into complex workflows.
• Familiar with design patterns for autonomous AI agents that collaborate to achieve business goals.
• Committed to embedding fairness, transparency, and compliance into AI solution architectures.

Business Acumen & Communication

• Adept at translating complex technical concepts into business language and aligning AI solutions with client value.
• Strong communication, facilitation, and stakeholder engagement skills.
• Comfortable contributing to pre-sales activities including solution proposals, estimates, and client presentations.

Consulting Behaviours

• Client-Centric Mindset: Anticipates client needs, aligning solutions with strategic priorities.
• Commercial Awareness: Balances scope, delivery quality, and profitability.
• Influencing Skills: Builds trusted relationships across organisational levels.
• Adaptability: Thrives in varied industries, shifting priorities, and evolving technologies.
• Collaboration: Works seamlessly with cross-functional and multi-disciplinary teams.
• Analytical Thinking: Applies structured problem-solving to design innovative, pragmatic solutions.
• Knowledge Sharing: Actively uplifts organisational capability.

Success Measures

• AI/Data solutions delivered that meet client expectations and deliver measurable value
• Contribution to winning new client engagements through proposals and pre-sales support
• Demonstratable uplift in team AI/Data capability through mentoring and training
• Positive client feedback and repeat engagements
• Successful delivery of GenAI-powered client solutions that demonstrate measurable business impact.
• Adoption of GenAI best practices within the internal consulting team.

Education & Experience

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence
• Master’s degree in AI, Data Science or Business Analytics (Advantageous)
• Certifications in Azure Data & AI solutions, AWS Data & AI Solutions
• Industry specific inAI solutioning (financial services, retail, telecommunications)
• 7+ years total in technology or data-related roles, with at least:
  • 3+ years in AI/ML solution delivery, including model deployment.
  • 1–2 years hands-on with Generative AI (LLMs, RAG, orchestration).
  • 3+ years in a consulting, client-facing, or solution architect capacity.
• Project Experience
  • Designed and delivered enterprise AI platforms or AI-enabled products.
  • Built and deployed LLM-powered assistants, search/retrieval systems, or document automation workflows.
  • Guided clients on AI adoption roadmaps, governance, and ethics.
  • Integrated AI into existing business processes and applications

Please Note:
As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals

#J-18808-Ljbffr

We are seeking an accomplished AI Solutions Architect with a proven track record in engaging senior executives and designing sophisticated AI architectures within cloud environments. This role requires blending advanced technical proficiency with strategic business insight to develop AI-powered data solutions that drive industry innovation and deliver measurable value for our clients. A strong emphasis on both traditional machine learning and emerging Generative AI capabilities, including large language models, retrieval-augmented generation, and AI powered automation. Key responsibilities include architecting, implementing, and delivering AI-driven data solutions across diverse sectors. This consulting position demands comprehensive technical expertise, strong commercial understanding, and the ability to articulate complex data and AI concepts into actionable strategies that produce tangible business results. Additional duties involve supporting proposal development, contributing to business growth initiatives, and facilitating knowledge transfer to enhance internal AI and Data capabilities. Ideal candidates will thrive in fast-paced environments, demonstrate exceptional skills in communicating the business relevance of advanced AI solutions, and possess a keen interest in elevating next-generation consulting services.Key Responsibilities Client Delivery & Solution Implementation Lead the end-to-end design and delivery of AI-driven data solutions for clients, from discovery to deployment. Translate client business problems into AI/ML and data architecture strategies. Collaborate with client stakeholders, data engineers, and data scientists to support solution implementation. Ensure projects meet best-practice standards for compliance, governance, and ethical AI. Capability Building & Knowledge Sharing Mentor and coach consulting teams, building internal AI and data solution delivery skills. Develop reference architectures, templates, and accelerators. Deliver internal training to grow organisational expertise. Pre-Sales & Proposal Support Co-create proposals and solution blueprints with sales teams. Present confidently to senior client stakeholders. Identify and shape new AI-driven opportunities in client engagements. Thought Leadership & Market Positioning Monitor developments in AI, ML, and data technologies, with an emphasis on their practical uses in business. Represent the organisation at industry events, client forums, and professional platforms. Publish insights, case studies, and articles that demonstrate experience in AI and data consulting. Required Skills Consulting & Delivery Leadership Proven experience delivering AI and data solutions within consulting and professional services environments. Skilled in leading multi-disciplinary teams across AI and data engagements. Experienced in client discovery workshops, proposal development, and executive-level presentations. Solution Architecture & Technical Expertise Expert in designing AI-enabled data platforms in cloud environments, particularly Azure. Strong background in modern data platforms including Databricks, Synapse, and Snowflake. Proficient in data architecture, ingestion, transformation, and storage solutions optimized for AI readiness. Deep understanding of data governance, compliance, and model risk management. AI & ML Engineering Hands-on experience with AI/ML frameworks such as Py Torch, Tensor Flow, and Scikit-learn. Skilled in MLOps practices including deployment, monitoring, versioning, and governance using Azure ML, MLFlow, and Kubeflow. Advanced expertise in generative AI, LLMs, RAG architectures, and vector databases. Proficient in hybrid search, multi-modal retrieval, and integrating vector databases into complex workflows. Familiar with design patterns for autonomous AI agents that collaborate to achieve business goals. Committed to embedding fairness, transparency, and compliance into AI solution architectures. Business Acumen & Communication Adept at translating complex technical concepts into business language and aligning AI solutions with client value. Strong communication, facilitation, and stakeholder engagement skills. Comfortable contributing to pre-sales activities including solution proposals, estimates, and client presentations. Consulting Behaviours Client-Centric Mindset: Anticipates client needs, aligning solutions with strategic priorities. Commercial Awareness: Balances scope, delivery quality, and profitability. Influencing Skills: Builds trusted relationships across organisational levels. Adaptability: Thrives in varied industries, shifting priorities, and evolving technologies. Collaboration: Works seamlessly with cross-functional and multi-disciplinary teams. Analytical Thinking: Applies structured problem-solving to design innovative, pragmatic solutions. Knowledge Sharing: Actively uplifts organisational capability. Success Measures AI/Data solutions delivered that meet client expectations and deliver measurable value Contribution to winning new client engagements through proposals and pre-sales support Demonstratable uplift in team AI/Data capability through mentoring and training Positive client feedback and repeat engagements Successful delivery of Gen AI-powered client solutions that demonstrate measurable business impact. Adoption of Gen AI best practices within the internal consulting team. Education & Experience Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence Master’s degree in AI, Data Science or Business Analytics (Advantageous) Certifications in Azure Data & AI solutions, AWS Data & AI Solutions Industry specific in AI solutioning (financial services, retail, telecommunications) 7+ years total in technology or data-related roles, with at least:3+ years in AI/ML solution delivery, including model deployment. 1–2 years hands-on with Generative AI (LLMs, RAG, orchestration). 3+ years in a consulting, client-facing, or solution architect capacity. Project Experience Designed and delivered enterprise AI platforms or AI-enabled products. Built and deployed LLM-powered assistants, search/retrieval systems, or document automation workflows. Guided clients on AI adoption roadmaps, governance, and ethics. Integrated AI into existing business processes and applications Please Note: As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification. iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals #J-18808-Ljbffr

We are seeking an accomplished AI Solutions Architect with a proven track record in engaging senior executives and designing sophisticated AI architectures within cloud environments. This role requires blending advanced technical proficiency with strategic business insight to develop AI-powered data solutions that drive industry innovation and deliver measurable value for our clients. A strong emphasis on both traditional machine learning and emerging Generative AI capabilities, including large language models, retrieval-augmented generation, and AI powered automation. Key responsibilities include architecting, implementing, and delivering AI-driven data solutions across diverse sectors. This consulting position demands comprehensive technical expertise, strong commercial understanding, and the ability to articulate complex data and AI concepts into actionable strategies that produce tangible business results. Additional duties involve supporting proposal development, contributing to business growth initiatives, and facilitating knowledge transfer to enhance internal AI and Data capabilities. Ideal candidates will thrive in fast-paced environments, demonstrate exceptional skills in communicating the business relevance of advanced AI solutions, and possess a keen interest in elevating next-generation consulting services.Key Responsibilities Client Delivery & Solution Implementation Lead the end-to-end design and delivery of AI-driven data solutions for clients, from discovery to deployment. Translate client business problems into AI/ML and data architecture strategies. Collaborate with client stakeholders, data engineers, and data scientists to support solution implementation. Ensure projects meet best-practice standards for compliance, governance, and ethical AI. Capability Building & Knowledge Sharing Mentor and coach consulting teams, building internal AI and data solution delivery skills. Develop reference architectures, templates, and accelerators. Deliver internal training to grow organisational expertise. Pre-Sales & Proposal Support Co-create proposals and solution blueprints with sales teams. Present confidently to senior client stakeholders. Identify and shape new AI-driven opportunities in client engagements. Thought Leadership & Market Positioning Monitor developments in AI, ML, and data technologies, with an emphasis on their practical uses in business. Represent the organisation at industry events, client forums, and professional platforms. Publish insights, case studies, and articles that demonstrate experience in AI and data consulting. Required Skills Consulting & Delivery Leadership Proven experience delivering AI and data solutions within consulting and professional services environments. Skilled in leading multi-disciplinary teams across AI and data engagements. Experienced in client discovery workshops, proposal development, and executive-level presentations. Solution Architecture & Technical Expertise Expert in designing AI-enabled data platforms in cloud environments, particularly Azure. Strong background in modern data platforms including Databricks, Synapse, and Snowflake. Proficient in data architecture, ingestion, transformation, and storage solutions optimized for AI readiness. Deep understanding of data governance, compliance, and model risk management. AI & ML Engineering Hands-on experience with AI/ML frameworks such as Py Torch, Tensor Flow, and Scikit-learn. Skilled in MLOps practices including deployment, monitoring, versioning, and governance using Azure ML, MLFlow, and Kubeflow. Advanced expertise in generative AI, LLMs, RAG architectures, and vector databases. Proficient in hybrid search, multi-modal retrieval, and integrating vector databases into complex workflows. Familiar with design patterns for autonomous AI agents that collaborate to achieve business goals. Committed to embedding fairness, transparency, and compliance into AI solution architectures. Business Acumen & Communication Adept at translating complex technical concepts into business language and aligning AI solutions with client value. Strong communication, facilitation, and stakeholder engagement skills. Comfortable contributing to pre-sales activities including solution proposals, estimates, and client presentations. Consulting Behaviours Client-Centric Mindset: Anticipates client needs, aligning solutions with strategic priorities. Commercial Awareness: Balances scope, delivery quality, and profitability. Influencing Skills: Builds trusted relationships across organisational levels. Adaptability: Thrives in varied industries, shifting priorities, and evolving technologies. Collaboration: Works seamlessly with cross-functional and multi-disciplinary teams. Analytical Thinking: Applies structured problem-solving to design innovative, pragmatic solutions. Knowledge Sharing: Actively uplifts organisational capability. Success Measures AI/Data solutions delivered that meet client expectations and deliver measurable value Contribution to winning new client engagements through proposals and pre-sales support Demonstratable uplift in team AI/Data capability through mentoring and training Positive client feedback and repeat engagements Successful delivery of Gen AI-powered client solutions that demonstrate measurable business impact. Adoption of Gen AI best practices within the internal consulting team. Education & Experience Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence Master’s degree in AI, Data Science or Business Analytics (Advantageous) Certifications in Azure Data & AI solutions, AWS Data & AI Solutions Industry specific in AI solutioning (financial services, retail, telecommunications) 7+ years total in technology or data-related roles, with at least:3+ years in AI/ML solution delivery, including model deployment. 1–2 years hands-on with Generative AI (LLMs, RAG, orchestration). 3+ years in a consulting, client-facing, or solution architect capacity. Project Experience Designed and delivered enterprise AI platforms or AI-enabled products. Built and deployed LLM-powered assistants, search/retrieval systems, or document automation workflows. Guided clients on AI adoption roadmaps, governance, and ethics. Integrated AI into existing business processes and applications Please Note: As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification. iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals #J-18808-Ljbffr

PloPdo City of Johannesburg, Gauteng, South Africa

PloPdo City of Johannesburg, Gauteng, South Africa

5 days ago Be among the first 25 applicants

Direct message the job poster from PloPdo

Recruitment Professional | Empowering Organizations with Top Talent | Experienced in Vendor Management & Hiring Analytics

Location: Johannesburg, South Africa

Employment Type: Full-Time

Experience Required: 8+ years in IT architecture/engineering (4+ years building AI/ML platforms)

Reports To: Head of Technology / Chief Data & AI Officer

Job Summary

We are seeking an experienced AI Platform Architect specializing in the Azure ecosystem to design and implement scalable, enterprise-grade AI/ML solutions. You will lead the end-to-end architecture of AI platforms, enabling data science teams, accelerating AI adoption, and ensuring seamless integration with enterprise systems.

Key Responsibilities

Platform Strategy & Architecture

• Define and implement AI platform architecture on Azure aligned with business and digital transformation goals.
• Establish architectural standards, best practices, and reusable patterns for AI/ML workloads.

Solution Design & Enablement

• Architect core components for data ingestion, model training, deployment, monitoring, and MLOps using Azure Machine Learning, Databricks, Synapse Analytics, and Data Lake.
• Build self-service capabilities for data scientists, engineers, and analysts.

AI/ML Ops & Automation

• Design and implement CI/CD pipelines, model registry, and automated deployments using Azure DevOps, GitHub Actions, and Infrastructure-as-Code (Terraform/ARM/Bicep).
• Integrate responsible AI practices, governance, and compliance into workflows.
• Oversee ingestion, transformation, and orchestration of large-scale data using Azure Data Factory, Data Lake, and related services.
• Ensure seamless integration between AI platforms and enterprise applications.

Performance, Scalability & Cost Optimization

• Optimize for high performance, scalability, and cost efficiency.
• Monitor and manage resource allocation and usage.

Stakeholder Engagement & Leadership

• Collaborate with technical and business teams to deliver robust, future-proof AI solutions.
• Provide mentorship and technical leadership in AI platform adoption.
• Evaluate emerging Azure services, tools, and AI best practices to keep platforms at the cutting edge.

Required Skills & Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• 8+ years in IT architecture/engineering; 4+ years in AI/ML platform development.
• Hands-on experience with Azure AI services (Azure Machine Learning, Databricks, Synapse, Data Factory, Data Lake, AKS, Cognitive Services).
• Strong expertise in MLOps, DevOps, CI/CD, and infrastructure automation.
• Knowledge of cloud security, IAM, data governance, and compliance.
• Excellent communication and stakeholder management skills.
• Azure certifications preferred (Solutions Architect, AI Engineer, Data Engineer).

Preferred Experience

• Multi-cloud or hybrid AI platforms.
• Responsible AI, model monitoring, and explainability.
• Experience in telecom, financial services, or regulated industries.
• Familiarity with TensorFlow, PyTorch, MLflow.

Why Join Us

• Opportunity to shape AI platform strategy in a high-impact role.
• Work with cutting-edge Azure AI and data services.
• Collaborate with global, cross-functional teams.
• Competitive compensation and growth opportunities.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology and Engineering
• Industries Technology, Information and Media, Telecommunications, and Engineering Services

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Plo Pdo City of Johannesburg, Gauteng, South Africa Plo Pdo City of Johannesburg, Gauteng, South Africa 5 days ago Be among the first 25 applicants Direct message the job poster from Plo Pdo Recruitment Professional | Empowering Organizations with Top Talent | Experienced in Vendor Management & Hiring Analytics Location: Johannesburg, South Africa Employment Type: Full-Time Experience Required: 8+ years in IT architecture/engineering (4+ years building AI/ML platforms) Reports To: Head of Technology / Chief Data & AI Officer Job Summary We are seeking an experienced AI Platform Architect specializing in the Azure ecosystem to design and implement scalable, enterprise-grade AI/ML solutions. You will lead the end-to-end architecture of AI platforms, enabling data science teams, accelerating AI adoption, and ensuring seamless integration with enterprise systems. Key Responsibilities Platform Strategy & Architecture Define and implement AI platform architecture on Azure aligned with business and digital transformation goals. Establish architectural standards, best practices, and reusable patterns for AI/ML workloads. Solution Design & Enablement Architect core components for data ingestion, model training, deployment, monitoring, and MLOps using Azure Machine Learning, Databricks, Synapse Analytics, and Data Lake. Build self-service capabilities for data scientists, engineers, and analysts. AI/ML Ops & Automation Design and implement CI/CD pipelines, model registry, and automated deployments using Azure Dev Ops, Git Hub Actions, and Infrastructure-as-Code (Terraform/ARM/Bicep). Integrate responsible AI practices, governance, and compliance into workflows. Oversee ingestion, transformation, and orchestration of large-scale data using Azure Data Factory, Data Lake, and related services. Ensure seamless integration between AI platforms and enterprise applications. Performance, Scalability & Cost Optimization Optimize for high performance, scalability, and cost efficiency. Monitor and manage resource allocation and usage. Stakeholder Engagement & Leadership Collaborate with technical and business teams to deliver robust, future-proof AI solutions. Provide mentorship and technical leadership in AI platform adoption. Evaluate emerging Azure services, tools, and AI best practices to keep platforms at the cutting edge. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or related field. 8+ years in IT architecture/engineering; 4+ years in AI/ML platform development. Hands-on experience with Azure AI services (Azure Machine Learning, Databricks, Synapse, Data Factory, Data Lake, AKS, Cognitive Services). Strong expertise in MLOps, Dev Ops, CI/CD, and infrastructure automation. Knowledge of cloud security, IAM, data governance, and compliance. Excellent communication and stakeholder management skills. Azure certifications preferred (Solutions Architect, AI Engineer, Data Engineer). Preferred Experience Multi-cloud or hybrid AI platforms. Responsible AI, model monitoring, and explainability. Experience in telecom, financial services, or regulated industries. Familiarity with Tensor Flow, Py Torch, MLflow. Why Join Us Opportunity to shape AI platform strategy in a high-impact role. Work with cutting-edge Azure AI and data services. Collaborate with global, cross-functional teams. Competitive compensation and growth opportunities. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology and Engineering Industries Technology, Information and Media, Telecommunications, and Engineering Services Referrals increase your chances of interviewing at Plo Pdo by 2x Get notified about new Platform Architect jobs in City of Johannesburg, Gauteng, South Africa . 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3 days ago Be among the first 25 applicants

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Recruitment Professional | Empowering Organizations with Top Talent | Experienced in Vendor Management & Hiring Analytics

Full Job Description

About the Role

We are seeking a highly skilled AI Infrastructure Architect with expertise in the Azure ecosystem and deep knowledge of infrastructure sizing and capacity planning. In this role, you will design, size, and optimize AI/ML infrastructure that is robust, scalable, secure, and cost-efficient — enabling enterprise AI adoption at scale.

Key Responsibilities

• Architecture & Design: Design and architect AI/ML infrastructure solutions on Azure ensuring scalability, availability, and high performance.
• Sizing & Capacity Planning: Lead infrastructure sizing for compute, storage, networking, and GPU workloads; forecast capacity based on growth and workload trends.
• Implementation & Optimization: Deploy AI platforms using Infrastructure-as-Code (Terraform, ARM, Bicep) and optimize for cost, performance, and scalability.
• Data Pipeline Integration: Design and size data pipelines using Azure Data Factory, Data Lake, and Synapse Analytics for large-scale AI workloads.
• Security & Compliance: Implement cloud security best practices, identity management, and compliance frameworks.
• Collaboration: Partner with data science, engineering, and business teams to translate requirements into scalable, future-proof Azure solutions.
• Continuous Improvement: Stay updated with Azure advancements, industry trends, and MLOps best practices.

Required Skills & Qualifications

• Bachelor’s/Master’s in Computer Science, Engineering, or related field.
• 8+ years in IT architecture, with 3+ years in AI/ML infrastructure.
• Strong understanding of AI/ML lifecycle, MLOps, and DevOps practices.
• Hands-on experience with Infrastructure-as-Code (Terraform, ARM, Bicep).
• Knowledge of containerization (Docker, Kubernetes).
• Proficiency in GPU/CPU sizing and performance optimization.
• Strong communication and stakeholder management skills.
• Azure certifications (Solutions Architect, AI Engineer, or related) preferred.

Preferred Experience

• Hybrid or multi-cloud AI deployments.
• Model governance, responsible AI, and cost optimization best practices.
• Large-scale AI infrastructure sizing for high-throughput workloads.
• Prior work in telecom, fintech, or regulated industries.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Research, Engineering, and Information Technology
• Industries Technology, Information and Media and Telecommunications

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Job Description

Role: AI & Data Solutions Architect

Experience: 8-10 Years

Must-have skills:

• Strong understanding of AI/ML concepts
• Proficiency in Python (or other relevant languages)
• Experience with prompt engineering and knowledge of LLMs and their applications
• Familiarity with MLOps principles
• Understanding of Nvidia GPU H200 types to design, operate, and manage
• Basic subject matter expertise in telecom and prior work experience in the area
• Deep understanding of Azure/AWS or GCP cloud platforms
• Expertise in relevant cloud services and tools
• Knowledge of cloud (AWS/Azure/GCP) data storage and processing services

Good to have skills:

• Ruby on Rails
• Python
• Kubernetes, Docker
• Java
• Nvidia H200 GPU handling
• Azure DevOps
• Azure Cosmos DB
• Docker & Kubernetes containerization

Key responsibilities:

• Design and implement Gen AI solutions
• Develop and optimize prompts
• Build and deploy AI models
• Ensure ethical considerations and responsible AI practices. Stay updated on the latest Gen AI advancements
• Integrate with various LLM services and other cloud AI and non-AI services
• Utilize machine learning tools for designing, building, and deploying models, such as Azure Machine Learning or similar tools

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Join to apply for the AI Software Engineer / Architect role at Impronics Technologies

2 days ago Be among the first 25 applicants

Join to apply for the AI Software Engineer / Architect role at Impronics Technologies

About The Role

We are seeking a highly skilled

About The Role

We are seeking a highly skilled AI Software Engineer / Architect to join our global delivery team. You will be responsible for designing, developing, and implementing AI-driven solutions for enterprise-scale applications. This role requires deep technical expertise in AI/ML, strong software engineering fundamentals, and proven experience leading end-to-end solution architecture.

Key Responsibilities

Architect Role (8+ years):

Define and own the AI architecture strategy, ensuring scalability, performance, and security.

Design AI/ML systems that integrate with existing enterprise platforms (cloud/on-premise).

Lead technical discussions with clients and stakeholders to gather requirements and provide architectural guidance.

Select appropriate AI/ML models, frameworks, and tools based on business needs.

Collaborate with data scientists, engineers, and product teams to bring AI solutions from concept to deployment.

Review code, mentor engineering teams, and enforce best practices in AI and software development.

Create architectural documentation and support pre-sales or proposal activities when required.

Software Engineer Role (3–4 Years)

Develop and maintain AI-powered applications using frameworks like TensorFlow, PyTorch, or scikit-learn.

Work with REST APIs, cloud services (AWS, Azure, GCP), and integrate ML models into production systems.

Collaborate with cross-functional teams to understand requirements and implement features.

Optimize AI models for performance and scalability in production environments.

Conduct unit and integration testing, ensure high code quality, and participate in code reviews.

Required Skills & Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

Proven experience in AI/ML solution architecture and full-stack AI software development.

Strong knowledge of Python and AI frameworks (e.g., TensorFlow, PyTorch, Keras, etc.).

Experience with MLOps, model deployment pipelines, and cloud-native architectures.

Familiarity with containerization tools (Docker, Kubernetes).

Exposure to data engineering tools and pipelines (Spark, Kafka, etc.) is a plus.

Excellent communication and leadership skills, with experience in client-facing roles.

Ability to work in a fast-paced, agile environment with global delivery teams.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries Banking

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