Facilitate workshops and meetings to gather requirements and feedback from stakeholders.
Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows
Engage with multiple teams and contribute on key decisions.
Mentor junior professionals in best practices and application development methodologies. Professional & Technical Skills:
Responsible for team decisions.
Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
Requirements
sap trm
genai
prompt engineering
ai lifecycle
15 years
advisory skills
Must To Have Skills: Proficiency in SAP FSCM Treasury and Risk Management (TRM). - Strong understanding of application development life cycle and methodologies. - Experience with integration of financial applications and systems. - 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 FSCM Treasury and Risk Management (TRM)."
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
Should have influencing and advisory skills.
Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
Expected to provide solutions to problems that apply across multiple teams.