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 the latest technologies and methodologies relevant to application development. Professional & Technical Skills:
Assist in the documentation of application processes and workflows to ensure clarity and consistency.
Requirements
genai
sap fscm
prompt engineering
llms
nlp
ai lifecycle
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.
Must To Have Skills: Proficiency in SAP FSCM Treasury and Risk Management (TRM). - Strong understanding of application development methodologies and best practices. - Experience with integration of financial applications and systems. - Familiarity with database management and data modeling techniques. - Ability to troubleshoot and resolve application issues efficiently. Additional Information:- The candidate should have minimum 3 years of experience in SAP FSCM Treasury and Risk Management (TRM)."
Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects