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Job Description

An SAP AI Consultant is responsible for designing, implementing, and optimizing AI-driven solutions within SAP ecosystems. This includes leveraging tools like SAP AI Core, SAP AI Launchpad, SAP Business Technology Platform (BTP), and embedded AI in S/4HANA to enhance business processes through automation, predictive analytics, and intelligent decision-making. "AI Solution Design & Implementation:

Job Description

An SAP AI Consultant is responsible for designing, implementing, and optimizing AI-driven solutions within SAP ecosystems. This includes leveraging tools like SAP AI Core, SAP AI Launchpad, SAP Business Technology Platform (BTP), and embedded AI in S/4HANA to enhance business processes through automation, predictive analytics, and intelligent decision-making. "AI Solution Design & Implementation:

Develop and deploy machine learning models using SAP AI Core, SAP AI Launchpad, and SAP BTP AI services .

Integrate AI capabilities into SAP applications such as S/4HANA, SAP Ariba, and SuccessFactors for use cases like invoice matching, lead scoring, and demand forecasting .

Collaborate with business stakeholders to identify AI opportunities and define use cases.

Data Preparation & Model Management

Prepare and manage training datasets using SAP Data Intelligence or SAP Datasphere.

Evaluate model performance and retrain as needed to ensure accuracy and relevance.

Ensure AI models are explainable, auditable, and compliant with regulations like GDPR and the EU AI Act .

Integration & Automation

Implement intelligent robotic process automation (iRPA) and conversational AI tools within SAP environments.

Use APIs, OData, and JSON to connect AI services with SAP and third-party systems .

Governance & Compliance

Define and enforce AI governance frameworks, including ethical guidelines and risk mitigation strategies.

Monitor AI systems for bias, fairness, and compliance with enterprise policies .

Training & Enablement

Educate business users and consultants on AI capabilities and responsible usage.

Support prompt engineering and AI-enhanced user interfaces like SAP Joule ."

Requirements

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

3+ years of experience in SAP environments with a focus on AI, machine learning, or data science.

Proficiency in Python, TensorFlow, scikit-learn, or similar ML frameworks .

Experience with SAP HANA, SAP BTP, and SAP S/4HANA embedded AI." "Strong understanding of AI/ML concepts, model lifecycle, and data pipelines.

Familiarity with SAP AI tools and cloud platforms.

Knowledge of AI governance, compliance, and ethical AI practices.

Excellent communication and stakeholder engagement skills.

Ability to translate business needs into technical AI solutions."

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• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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Triz Engineering Solutions is seeking a business-oriented, innovation-driven problem solver to join us as an AI Solutions Lead . The ideal candidate will have a deep understanding of how the business operates and how complex workflows function, bringing structured problem-solving and hands-on thinking to the table. This position is business-driven and focused on operational strategy and innovation and is not a software or coding position . It is specifically no t suited to persons pursuing programming or data science , as it does not involve coding or technical model development.

Triz Engineering Solutions ( is a product engineering and development company specializing in end-to-end turn-key commercial vehicle development.

Position Summary:

The AI Solutions Lead will be responsible for identifying high-impact opportunities for Artificial Intelligence across the organisation and driving real-world implementation through collaboration with third-party experts and internal coordination.

Key Responsibilities :

1. Identify High-Value Use Cases

• Walk the floor, engage teams, and map workflows to determine where AI can unlock productivity, business insights, or automation and competitive advantages.
• Develop a wide and deep understanding of industry and business trends, identify and translate opportunities and challenges into structured problem and solutions statements.
• Use your understanding of physical processes, constraints, and technology to assess viability

2. Build the Business Case

• Prioritize opportunities based on business impact, effort, and speed to value.
• Develop clear, ROI-driven business cases that align with operational goals.
• Present and communicate these opportunities to senior leadership and stakeholders.

3. Engage the Right Expertise

• Scout, evaluate, and collaborate with third-party AI vendors, domain experts, and technology providers.
• Serve as the internal project lead — translating business needs to external providers and ensuring delivery stays aligned with outcomes.
• You don’t build the tech — you guide the vision, manage the outcomes, and ensure it solves the right problem.
• Coordinate implementation efforts across business units and external partners.
• Define success metrics, monitor progress, and remove roadblocks to execution.
• Develop and lead training efforts to build awareness and capability around the new tools or workflows.

5. Promote Innovation Across the Organization

• Champion a practical understanding of AI — what it is, what it isn’t, and where it can help.
• Host workshops, lead internal demonstrations, and empower teams to think differently.
• Help build a culture that is open to experimentation and continuous improvement.

Qualifications, Experience and Skills:

• Bachelor’s or Master’s degree in Business, Engineering, Innovation, Operations, or a related field.
• 5+ years of experience in operations, product development, innovation, continuous improvement, or business transformation.
• Proven ability to lead cross-functional initiatives and manage external technology partners.
• Fluent in English, with exceptional written, verbal, and interpersonal communication skills, capable of engaging confidently across technical and executive audiences.
• Able to influence across technical and business domains.
• Has strong business instincts.
• Naturally curious, hands-on, and relentless about solving real problems.
• Not afraid of technology, but more focused on what it enables rather than how it works under the hood.
• Attention to detail and accuracy in work
• Ability to handle confidential information with discretion.
• Excellent organizational and multitasking abilities.
• Outstanding organisational and time management skills
• Willingness to travel internationally

Nice to Have (But Not Required):

• Familiarity with AI/ML applications in operations or manufacturing.
• Experience working with technology vendors, solution providers, or consultants.
• Exposure to innovation frameworks like Lean, Six Sigma, Design Thinking, or Agile.

Remuneration:

We offer a highly competitive remuneration package.

Only shortlisted candidates will be contacted

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering, Strategy/Planning, and Business Development
• Industries Truck Transportation, Engineering Services, and Motor Vehicle Manufacturing

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• BEng/Master's in Business, Engineering or related fields.
• Minimum 5 years of working experience in operations, product development, etc.
• Proven ability to lead cross-functional initiatives and manage external technology partners
• Working with technology vendors, solution providers or consultants.
• Exposure to Lean, Six Sigma, Design Thinking or Agile.

• Identifying high-impact opportunities for AI across the organisation and driving real-world implementation through collaboration with third-party experts and internal coordination.
• Provide structured problem-solving and hands-on solutions.