SAP AI Business Services Consultant

Summary : We are looking for a Senior AI/ML Lead /Architect to lead the design and delivery of enterprise-grade AI solutions with a strong focus on Generative AI in healthcare. This role requires deep expertise in RAG systems, Agentic AI, MLOps, and AI governance, along with hands-on experience building production-ready AI platforms., * AI Project Delivery Lead end-to-end execution of AI/ML & GenAI projects Translate business requirements into scalable AI architectures Work closely with stakeholders and engineering teams for successful delivery

• GenAI & Solution Architecture Design and implement RAG-based systems and LLM applications Build HIPAA-compliant AI solutions for healthcare use cases Develop systems for: Claims processing automation Medical document / metadata extraction Intelligent recommendation systems
• AI Governance & Compliance Drive AI governance and Responsible AI practices Support AI review processes and ensure compliance (HIPAA, data privacy) Implement ethical and secure AI frameworks
• Team Leadership Lead and mentor AI/ML Engineers & Data Scientists Conduct architecture reviews, code reviews, and technical discussions
• MLOps & Engineering Build and manage ML/LLM pipelines and CI/CD workflows Implement model monitoring, drift detection, and observability Ensure best practices in versioning, deployment, and scalability

Do you have experience in Prompt engineering?, * Core AI/ML & GenAI Strong experience in Generative AI (LLMs, RAG, Agentic AI)

• Hands-on with Vector Databases (Pinecone, FAISS, Milvus, Weaviate)
• Experience building production-grade AI systems
• LLM Engineering Experience with: Embeddings & retrieval systems Prompt engineering frameworks (LangChain, PromptFlow) Multi-agent systems (CrewAI / LangGraph)
• MLOps / LLMOps CI/CD pipelines (GitHub Actions or similar) Monitoring tools (MLflow, LangSmith, Prometheus, Grafana) Model lifecycle management & drift detection

Technical Stack

• Python TensorFlow / PyTorch / scikit-learn
• Cloud: AWS / Azure / Google Cloud Platform

Healthcare Experience (Must Have)

• Experience working with: Claims processing / clinical data / EHR
• HIPAA compliance, PHI handling, data security

Qualifications: Architect-level professional with end-to-end AI system ownership Hands-on experience building real-world GenAI solutions Strong in both architecture + execution