Associate Director, AI Engineering

Location: Waltham, Massachusetts, or King of Prussia, Pennsylvania, United States

Company

hirify.global is a global biotherapeutics leader developing therapies across immunology, hematology, cardiovascular and metabolic, respiratory, and transplant areas through plasma fractionation, recombinant protein, and cell and gene therapy platforms.

What you will do

• Own engineering standards, architecture, production readiness, release decisions, incident response, and operational support for the team's applications.
• Refactor and productize scientist- and colleague-built prototypes with robust architecture, testing, observability, security, documentation, and operability.
• Design and build full-stack cloud-native systems including APIs, workflow services, data and vector stores, identity and access controls, and scientist-facing front ends.
• Establish CI/CD, infrastructure-as-code, environments, starter templates, monitoring, deployment, rollback, and operational-runbook patterns.
• Own code-review and architecture-review standards, including the merge gate for AI-generated code and changes from scientists, contractors, and delivery engineers.
• Partner with Quality, computer system validation, platform, Cyber, and R&D teams to define validation practices, secure deployment patterns, and production-ready applications.

Requirements

• Bachelor's degree in physical, life, or quantitative science or engineering, or equivalent experience; an advanced degree is preferred.
• 10+ years building and operating production software, including substantial hands-on architect or principal-level engineering experience.
• Experience building or operating software in regulated, validated environments, such as GxP, computer system validation, IQ/OQ/PQ, or requirements traceability, is required.
• Sustained daily use of agentic development tools such as Claude Code or Codex, with full ownership of generated code and delivered software evidence, is required.
• Experience owning CI/CD, infrastructure as code, release engineering, pipelines, environments, deployment, rollback, and observability with a globally distributed team.
• Track record of taking inherited or prototype code to production grade through refactoring, test coverage, security hardening, performance improvements, and operability.
• Experience solving application-to-platform concerns including authentication, SSO, secrets, networking, and access control, and turning solutions into reusable patterns.
• Fluency in at least one production language and the judgment to direct agents across a polyglot stack including Python, TypeScript, and PostgreSQL.
• Deep cloud-native experience with containers, serverless, workflow orchestration, IAM, least-privilege design, and managed data stores; AWS is preferred, with equivalent Azure or GCP depth considered.

Nice to have

• Hands-on experience with LLM application patterns such as RAG, vector search, and multi-stage pipelines.
• Experience working directly with research scientists.

Culture & Benefits

• Full-time employment within a global biotherapeutics organization operating across more than 100 countries.
• Work follows company quality-management, security, and IT policies, with validation procedures for regulated systems.
• Benefits information is provided through CSL's candidate well-being resources.
• CSL emphasizes inclusion, belonging, curiosity, empathy, and a diverse workforce.