Associate Director, AI Engineering

CSL

. Own engineering standards and production readiness for every application the team ships .

Posted 11/6/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production software in regulated environments, with a strong focus on CI/CD, infrastructure as code, and cloud-native systems. Proven ability to lead engineering standards, application integration, and production support while collaborating with cross-functional teams.

Highest-signal resume keywords

Production Software EngineeringCI/CD Pipeline ManagementCloud-Native ArchitectureRegulated Environment ExperienceFull-Stack Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptPostgreSQLInfrastructure As CodeCI/CDApplication IntegrationRefactoringTest CoverageSecurity HardeningPerformance Optimization

Soft Skills

CollaborationLeadershipCommunicationProblem-SolvingMentoring

Tools & Technologies

AWSAzureGCPContainersServerlessWorkflow OrchestrationIAMAgentic Development Tools

Certifications & Qualifications

Bachelor's Degree in Science or EngineeringAdvanced Degree Preferred

Industry Keywords

GxPComputer System ValidationIQ/OQ/PQRequirements TraceabilityProduction ReadinessIncident ManagementRisk Assessment

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPostgresPythonTypeScript

About the role

Key responsibilities & impact

Own engineering standards and production readiness for every application the team ships
Refactor, strengthen and productize scientist- and colleague-built prototypes with architecture, tests, observability, security, documentation and operability
Own application-to-platform integration, including authentication, SSO, secrets, networking, deployment and monitoring
Establish and maintain CI/CD pipelines, infrastructure as code, environments, starter templates, monitoring and operational runbooks
Own code-review standards and merge gates; review and approve repository changes
Run design and architecture reviews before applications enter shared environments
Design and build full-stack, cloud-native systems including APIs, orchestration and workflow services, data and vector stores, identity and access, and scientist-facing front ends
Partner with Quality and computer system validation colleagues on risk-based engineering and validation practices for LLM and agent-based applications
Define software requirements with R&D scientists, review their code and build engineering capability through pairing
Lead productization of flagship applications and direct embedded delivery or professional-services engineers
Gain acceptance from platform teams and Cyber for deployment and access patterns
Ensure applications and delivery practices comply with quality, security and IT policies
Own production support, including triage, escalation, incident follow-up and engineering fixes
Present production-readiness and risk assessments to senior leadership, including build-versus-buy and prototype-retirement recommendations

Requirements

What you’ll need

Bachelor's degree in a physical, life or quantitative science or in engineering, or equivalent experience; advanced degree preferred
10+ years building and operating production software, with a substantial share as a hands-on architect or principal-level engineer
Experience building or operating software in regulated, validated environments (e.g., GxP, computer system validation, IQ/OQ/PQ, requirements traceability) required
Demonstrated, sustained daily use of agentic development tools (e.g., Claude Code, Codex) to design, build and ship software, with full ownership of generated code
Experience owning CI/CD, infrastructure as code and release engineering with a globally distributed team
Track record of taking inherited or prototype code to production grade, including refactoring, test coverage, security hardening, performance and operability
Experience solving production concerns between applications and platforms, including authentication and SSO, secrets, networking and access control, and turning them into reusable patterns
Fluency in at least one production language and judgment to direct agents across a polyglot stack; the team's stack is Python, TypeScript and PostgreSQL
Deep cloud-native experience; AWS preferred, with equivalent Azure or GCP depth considered
Experience with containers, serverless, workflow orchestration, IAM, least-privilege design and managed data stores
Hands-on LLM application patterns such as RAG, vector search and multi-stage pipelines preferred
Experience working directly with research scientists preferred

Benefits

Comp & perks

CSL benefits information is provided via “How CSL Supports Your Well-being | CSL” (specific benefits not listed in the posting)