• Owning end‑to‑end technical outcomes: architecture, design, implementation, and production support • Partnering with Product to translate business requirements into technical roadmaps; lead backlog refinement, estimation, and sprint planning • Designing agentic AI systems: multi‑agent orchestration, tool‑use, retrieval (RAG), planning, and self‑evaluation loops • Defining and implementing AI agentic standards and guardrails for safety, compliance, and ethical use, including policy enforcement and observability • Integrating agents with APIs, event streams, and data platforms; measure outcomes against product KPIs • Defining and evolve service architectures with strong non‑functional qualities (performance, scalability, security) • Collaborating with Architecture on standards, cross‑team integrations, and technology governance • Implementing CI/CD automation, Infrastructure as Code, and GitOps workflows; champion release engineering best practices • Implementing production observability (APM/logging/metrics/tracing), define/publish SLOs & SLAs, and use data to improve reliability and performance

• Design and implement solutions based on autonomous AI agents. • Structure systems with autonomous agents including modularization and orchestration. • Establish protocols for agents to communicate effectively. • Develop scalable and secure architectures that adapt to dynamic environments. • Research and implement new approaches to improve performance of autonomous systems.

• You will lead the deployment of our Generative AI infrastructure, moving beyond "support tickets" toward self-service automation and agentic resolution. • Learn routing and orchestration for frontier models (Claude/Claude Code, Gemini, OpenAI) and open-source/distilled models (DeepSeek, Qwen, Kimi) using tools like LiteLLM, AWS Bedrock, and n8n. • Build retrieval-augmented generation (RAG) systems and agentic workflows that integrate with our internal knowledge base to streamline operations. • Support the engineering team by integrating AI-driven CLIs and IDEs (Claude Code, Cursor, Codex) directly into the daily workflow. • Treat the entire corporate and product environment as a codebase using Terraform, Pulumi, ClawdBot, or Devpod.

• Lead the design, scaling, and adoption of AI-driven solutions across Commercial and Medical Affairs functions • Act as a senior thought partner to Commercial and Medical functional leaders • Drive adoption of AI-driven tools by embedding them into workflows, processes, and decision forums • Create a strategic roadmap for high value, high impact AI capabilities • Translate enterprise AI strategy into prioritized roadmaps • Oversee the evaluation, refinement, and performance monitoring of AI models • Lead the design, development, and scaling of AI-driven platforms and solutions • Own and manage a portfolio of AI and innovation initiatives • Establish clear success metrics and governance mechanisms to track • Lead and mentor multiple teams of data scientists, AI engineers, and other technology functions • Stay abreast of emerging AI methodologies, tools, and platforms • Collaborate with external partners, vendors, and internal centers of excellence as needed