Director AI Platform & Engineering

Please only apply if you have deep experience of working in the Life Sciences/Biotech industry*

Your new role

The Director, Agentic AI Platform & Engineering owns the technical platform on which the businesses' AI agents are built and operated: the AWS-based agentic automation stack (Amazon Bedrock / AgentCore and related services).

This is a hands-on engineering role reporting to the Senior Director, Head of Artificial Intelligence, and does not currently have direct reports.

The role works through existing functions rather than duplicating them: Infrastructure for AWS accounts, networking, and cloud operations; Security for identity, access, and data protection; and Data / enterprise systems teams for Snowflake and system integrations.

Key Responsibilities

Own the internal implementation and architecture of Amazon Bedrock / AgentCore and related AWS services as the businesses single enterprise agentic automation platform.

Design and own runtime governance components: guardrails, evaluation harnesses, automated regression testing, observability, logging, and prompt/tool/model versioning.

Build and maintain reusable agent templates and platform engineering patterns so new agents are faster, cheaper, and safer to deliver.

Own the tool/action architecture, including APIs and Lambda / Step Functions / EventBridge patterns, ensuring agents access enterprise systems through narrow, approved tools rather than broad credentials.What you'll need to succeed

10-12 years in software or platform engineering, including recent delivery of production LLM applications (RAG, tool calling, agents, evaluations).

Deep AWS expertise (IAM, Lambda, Step Functions, EventBridge, CloudWatch), infrastructure-as-code (Terraform or CDK), and CI/CD practice.

Strong proficiency in Python or a comparable language, with a sound engineering discipline.What you need to do now

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