Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows
Engage with multiple teams and contribute on key decisions.
Responsible for team decisions.
Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
Provide solutions to problems for their immediate team and across multiple teams.
Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills:
Collaborate and manage the team to perform.
Facilitate knowledge sharing sessions to enhance team capabilities.
Requirements
genai
llms
nlp
prompt engineering
sap sd
12 years
Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) – demonstrated through project implementations
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)
Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects
Must To Have Skills: Proficiency in SAP Sales and Distribution (SD) - Strong understanding of application development methodologies. - Experience with integration of SAP SD with other modules. - Proficient in troubleshooting and resolving application issues. - Familiarity with user interface design principles. - Additional Information:- The candidate should have minimum 12 years of experience in SAP Sales and Distribution (SD)."