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.
Provide solutions to problems for their immediate team and across multiple teams.
Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
Monitor project progress and ensure alignment with business goals. Professional & Technical Skills:
Facilitate knowledge sharing sessions to enhance team capabilities.
Requirements
genai
llms
sap successfactors
prompt engineering
ai lifecycle
5 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)
Must To Have Skills: Proficiency in SAP SuccessFactors Employee Central Payroll. - Strong understanding of application development methodologies. - Experience with integration of SAP SuccessFactors with other systems. - Familiarity with data management and reporting tools. - Ability to troubleshoot and resolve application issues efficiently. - Additional Information:- The candidate should have minimum 5 years of experience in SAP SuccessFactors Employee Central Payroll."
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