Based within Product Development Data Sciences (PDD), you will serve as the technical lead and architect driving the organization''s enterprise AI roadmap. You will transition operational teams from manual data handling to intelligent, automated steering through production-grade AI agents, agentified dashboards, and automated data pipelines. Key ResponsibilitiesHere is an overview of the core responsibilities:AI Solution Architecture: Design reusable, scalable enterprise AI architectures, multi-agent frameworks, and RAG pipelines across operational workflows.Agentic AI and LLMs: Build and deploy agents using modern foundation models (Claude, OpenAI) featuring tool calling, structured outputs, and autonomous multi-agent coordination.Agentified Dashboards: Develop interactive, natural-language interfaces and dashboards (R Shiny or Python) over portfolio, resourcing, and operational metrics.Shared Foundations: Build and govern a centralized library of reusable AI skills, connectors, and evaluation benchmarks across the organization.GxP and Trust by Design: Partner with Quality and Compliance to establish validation pathways, deterministic guardrails, human-in-the-loop controls, and audit trails.Technical Leadership and MLOps: Establish CI/CD, testing, containerization, and observability standards; mentor engineers and guide cross-functional teams on AI adoption. Must-HavesCandidates must meet the following minimum criteria:Experience: 4+ years in software, data, or ML ..... full job details .....