Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows
Facilitate workshops and discussions to gather requirements and feedback from stakeholders.
Engage with multiple teams and contribute on key decisions.
Mentor junior professionals in best practices and application development methodologies.
Responsible for team decisions.
Requirements
sap mm
genai
llms
prompt engineering
ai lifecycle
15 years
Expected to provide solutions to problems that apply across multiple teams.
Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
Should have influencing and advisory skills.
Must To Have Skills: Proficiency in SAP MM Materials Management. - Strong understanding of application development frameworks and methodologies. - Experience with integration of SAP MM with other SAP modules. - Ability to analyze business requirements and translate them into technical specifications. - Familiarity with database management and data modeling techniques. - Additional Information:- The candidate should have minimum 15 years of experience in SAP MM Materials Management."""
Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) – demonstrated through project implementations
Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects
Strong fundamental knowledge of AI lifecycle, data analysis, statistical concepts of ML algorithms (supervised and unsupervised learning) and AI concepts of NN (Neural Networks) and NLP (Natural Language Processing)