Director, Developer Platform and AI Transformation
Verily Health
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Job summary
Verily Health is seeking a Director of Developer Platform and AI Transformation to lead the SDLC toolchain, internal AI enablement, and a 15-strong engineering organization. You will own platform productivity, security, and governance while driving AI adoption across engineering and business units.
You will partner with executives to define strategy, scale enterprise AI capabilities, and deliver measurable improvements in delivery speed, reliability, and cost efficiency.
Qualifications
- Bachelor’s degree in computer science, engineering, or related field + 12+ years software engineering, including 5+ years leading platform/infrastructure and 5+ years of management.
- Demonstrated leadership of developer platform or productivity functions supporting hundreds of engineers with measurable improvements.
- Deep expertise in GitHub, CI/CD, infrastructure as code, cloud platforms, and Okta identity management.
- Hands-on experience with frontier AI models (Claude, Codex), MCP, and agentic workflows.
- Proven track record of leading internal AI adoption with productivity gains and cost controls.
- Strong bias for action and ability to influence across a large organization without direct authority.
Responsibilities
- Own end-to-end SDLC toolchain and core developer services (GitHub, CI/CD, IAM).
- Manage developer platform as an internal product, guided by research and productivity data.
- Ensure reliability, observability, and cost efficiency of CI/CD and tooling against SLAs.
- Partner with Security and GRC to secure software supply chain and auditable pipelines.
- Integrate AI across SDLC, including AI agents, code review, testing, and deployment with guardrails.
Skills
Education
Tools
Job description
At the intersection of technology, data science, and healthcare, Verily Health transforms complex health data into trusted intelligence, enabling health solutions that are more personal, predictive, and precise.
At the intersection of technology, data science, and healthcare, Verily Health transforms complex health data into trusted intelligence, enabling health solutions that are more personal, predictive, and precise.
Verily’s flagship Governed Health Intelligence platform, Verily Pre, enables healthcare organizations to responsibly govern, model, and securely activate their protected health data at scale, deploying intelligence with the scientific rigor, oversight, and auditability needed for healthcare.
The Director of Developer Platform and AI Transformation will lead Verily’s developer platform and enterprise AI enablement strategy. In this role, you will own the tools and infrastructure that enable engineers to build and release software securely and efficiently, and you will drive the adoption of AI across engineering and business functions. Reporting to the Senior Director of Cloud Engineering and Developer Platform, you will lead a high-performing organization of 15 engineers and managers. You will be accountable for developers productivity, AI enablement, and the return on Verily’s AI investments.
- Own the end-to-end SDLC toolchain, including GitHub, GitHub Actions, CI/CD, and build and release pipelines, along with foundational developer services such as identity and access management (Okta).
- Manage the developer platform as an internal product, using developer research and productivity data to improve the developer experience, set priorities, and guide the roadmap.
- Ensure the reliability, observability, and cost efficiency of CI/CD and core developer tooling against defined service-level objectives.
- Partner with Security and Governance, Risk, and Compliance (GRC) teams to secure the software supply chain and maintain auditable pipelines that meet Verily’s regulatory requirements (such as FISMA and FedGov).
- Integrate AI across the SDLC, including coding agents, code review, testing, and deployment, supported by the necessary security, privacy, and cost guardrails.
- Define and execute Verily’s enterprise AI enablement strategy and roadmap, and manage the portfolio of internal and third-party AI solutions, including build-versus-buy decisions.
- Partner with operations, finance, legal, and product engineering leaders to identify and prioritize high-value AI opportunities, and lead the redesign of those workflows using AI agents.
- Build and operate a shared AI harness encompassing agentic platform, MCP integrations, reusable skills, and enterprise knowledge graph.
- Establish AI governance in partnership with Security, Privacy, Legal, and GRC, covering acceptable use, protected health information, agent identity and permissions, and auditability.
- Implement AI cost management, including usage monitoring, budget controls, and cost-per-outcome reporting.
- Lead enablement and change management through training and champion networks, and institutionalize proven AI practices and patterns across the organization.
- Recruit, develop, and retain engineering managers and senior technical talent, and own organizational design, performance management, and budget.
- Partner with engineering, product, and business leaders as a peer. Report to the executive stakeholders on engineering productivity (including DORA metrics), AI adoption, cost, and business impact.
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience and 12+ years of software engineering experience, including 5+ years leading platform or infrastructure organizations and 5+ years of management experience.
- Demonstrated leadership of developer platform or developer productivity functions supporting hundreds of engineers, with measurable improvements in delivery speed and reliability.
- Deep expertise in GitHub, CI/CD, infrastructure as code, cloud platforms, and identity and access management (Okta).
- Hands-on experience with frontier AI models (e.g., Claude, Codex), MCP, and agentic workflows, with sound judgment on their practical strengths and limitations.
- Proven track record of leading internal AI adoption that delivered measurable productivity gains for engineering and non-engineering teams, including cost controls and monitoring.
- Strong bias for action and ownership, balancing speed of delivery with sound governance while remaining close to technical decisions and demonstrated ability to influence without direct authority across a large organization.
- Experience in regulated industries such as healthcare or life sciences, including HIPAA compliance and auditable development practices.
- Experience securing agentic systems and establishing evaluation frameworks for LLMs and agents.
- Experience with Kubernetes, ephemer a development environments, or sandboxed agent execution.
- A customer-focused approach to internal platforms, with a record of building solutions that engineering and business teams readily adopt.
This role is eligible for Verily-sponsored immigration support.
The US base salary range for this full-time position is $216,500 - 324,500 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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