Hays·2 days ago
2 days ago
Director AI Platform & Engineering
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What you'll do
- 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 they're looking for
- 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.
- Deep experience of working in the Life Sciences/Biotech industry
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
*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
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
#4798409 - Callum Gough MackayCompany
Hays
Oxford, United Kingdom
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