Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows
Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
Contribute in providing solutions to work related problems.
Engage in continuous learning to stay updated with industry trends and technologies. Professional & Technical Skills:
Assist in the documentation of application processes and workflows.
Requirements
genai
llms
sap successfactors
prompt engineering
nlp
multi-agent
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)
Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects
Must To Have Skills: Proficiency in SAP SuccessFactors Compensation. - Good To Have Skills: Experience with Generative AI. - Strong understanding of application development methodologies. - Experience with integration of SAP SuccessFactors with other systems. - Familiarity with user interface design principles. - Additional Information:- The candidate should have minimum 3 years of experience in SAP SuccessFactors Compensation."
Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.