Strategy & Discovery

• Partner with business, product, and portfolio leaders to identify high‑ROI GenAI and agentic use cases (knowledge work automation, decision support, customer service agents, code assistants, risk monitoring, etc.).
• Run AI readiness assessments: data landscape, governance, model options, risk and regulatory constraints.

Architecture & Design

• Design end‑to‑end AI architectures: prompt/flow orchestration, RAG pipelines, multi‑agent systems (planner/executor/critic), tool ecosystems (search, DB, APIs), vector stores, guardrails, observability, and CI/CD for ML.
• Select and integrate LLM providers (e.g., Azure OpenAI, Bedrock, Vertex, Anthropic) with model evaluation criteria (accuracy, latency, cost, safety).
• Define data pipelines for embeddings, chunking, metadata, and governed retrieval (role‑based access, PII handling, geo‑compliance).
• Architect safety & trust: content filtering, PII ...