The role involves building AI-augmented engineering capabilities and tooling, establishing governance for AI tools, and enhancing CI/CD reliability at Vida.
ABOUT US
At Vida, we help people get better- and we're helping the healthcare system get better, too.
Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.
By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives.
**Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered.
Please note: Applicants must be authorized to work in the U.S. as Vida is unable to sponsor work visas for any position.
All Vida Employees must reside in/be able to work from the U.S.- international work is prohibited.
Vida Health is seeking a Director of Engineering Enablement & AI Tooling to build the function that makes our entire engineering organization meaningfully faster—through AI-augmented development practices, shared tooling and the core platform infrastructure that keeps everything reliable, secure and scalable.
You will own how AI works at Vida as an organizational capability, not just a set of individual tools. This means building the guardrails, knowledge systems and paved-road workflows that let 25 engineers ship better code faster—while respecting the compliance and clinical data constraints that make healthcare a harder, more interesting problem than most.
You will report to the VP of Engineering and work directly with engineering leads across Product, Data/AI and Clinical teams to define what AI-augmented development looks like at Vida.
Responsibilities:
- Define and build Vida's organizational approach to AI-augmented engineering—turning individual tool usage into a shared, scalable capability.
- Build the institutional knowledge systems that make Vida's architecture, domain context and golden path patterns accessible to both engineers and AI tools.
- Establish technical controls and governance for AI tool usage: approved tools, PHI-safe workflows, prompt guardrails and vendor evaluation processes.
- Own CI/CD reliability and velocity—targeting sub-5-minute median CI with automated preview environments, flake reduction and smart test selection.
- Build paved-road developer workflows: one-command local setup, service templates, repo standards and golden path generators.
- Own core GCP platform systems—compute, networking primitives, deployment automation and infrastructure as code.
- Define and track the metrics that show whether enablement is working: PR cycle time, CI duration, change failure rate, time-to-first-PR for new engineers.
- Hire and grow a team of 1–2 engineers as impact proves out.
Qualifications:
- Bachelors Degree at a minimum.
- 8+ years in engineering productivity, developer tooling, platform engineering or a related area—you've built things that made engineering teams measurably faster.
- Hands-on experience with AI coding tools (Claude Code, Codex, or similar)—you understand what they're good at, where they fail and how to make them better at the org level.
- Working knowledge of LLMs: context windows, prompting strategies and retrieval-augmented generation—you know how to structure information so AI tools use it effectively.
- Strong Python; comfortable with CI/CD systems, infrastructure-as-code tooling and cloud infrastructure on GCP.
- Experience in a regulated or security-heavy environment—you know how to ship with real constraints, not around them.
- You build internal platforms engineers actually adopt—because you pair tooling with standards, training and feedback loops.
Vida is proud to be an Equal Employment Opportunity and Affirmative Action employer.
Diversity is more than a commitment at Vida—it is the foundation of what we do. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or Veteran status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
We seek to recruit, develop and retain the most talented people from a diverse candidate pool. We don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our platform and those we serve. Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at Vida in any form without a valid, signed search agreement in place for the specific position will be deemed the sole property of Vida. No fee will be paid in the event the candidate is hired by Vida as a result of the unsolicited referral.
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Top Skills
Ai Coding Tools
Ci/Cd Systems
GCP
Infrastructure-As-Code
Python
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