Director, Principal AI Engineer
Core
Lead a small cross-functional pod to design and deliver generative AI solutions that transform core business processes across Commercialization, R&D, Manufacturing, and Enabling Functions.
Role type
Principal AI Engineer (Player-Coach)
Builds
Cloud-native GenAI applications, agentic systems, and reusable AI patterns for enterprise scale.
Domain
Pharmaceutical / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, TypeScript, React, MCP (Model Context Protocol), context engineering, multi-modal GenAI inputs, vector databases, AWS, coding agents (Claude Code, Codex, Gemini CLI), GitHub, DevOps, MLOps, Terraform/CloudFormation, Databricks, people management.
Preferred skills
Azure, GCP, Azure OpenAI, AWS Bedrock, app observability.
Technologies
AWS, Azure, GCP, Azure OpenAI, AWS Bedrock, Python, TypeScript, React, MCP, vector databases, Databricks, Terraform, CloudFormation, GitHub, Claude Code, Codex, Gemini CLI.
Responsibilities
Own end-to-end delivery of 12-week AI Accelerator projects; Shape use cases, scope, and success metrics with business stakeholders; Lead a small multi-disciplinary pod of engineers and data scientists; Act as technical lead and architect for GenAI solutions; Embed responsible AI practices including safety and guardrails.
Seniority
Principal, hands-on IC with team leadership