Lead AI Platform Engineer
About The Position
Lead AI Platform Engineer Location: This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Lead AI Platform Engineer will own technical outcomes for core areas of the AI platform (APIs, data pipelines, developer hub/marketplace). Set architecture, elevate engineering standards, and ensure systems are secure, observable, scalable, and cost effective.
Requirements
- Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 7 years related experience; multi platform, multi-dimensional experience, and expert level experience with business and technical applications; or any combination of education and experience, which would provide an equivalent background.
Nice To Haves
- Experience mentoring others and provide troubleshooting support strongly preferred.
- Multi database and/or multi language strongly preferred.
- Deep experience with distributed systems, platform observability, and zero downtime deployments; proven leadership of cross team initiatives.
- Strong grounding in security by design (IAM, secrets, network segmentation, data protection) and compliance aware delivery.
- Demonstrated track record shipping developer platform capabilities (portals, catalogs, CLIs/SDKs) and usage metering/analytics.
Responsibilities
- Lead design and delivery for platform domains including gateway policies, authN/authZ, multi tenant isolation, quotas/rate limits, usage metering, and versioning strategy.
- Define SLOs/SLIs, capacity plans, caching strategies, and rollout policies (feature flags, canary, blue/green), lead design and code reviews.
- Drive reliability engineering: incident management, RCAs, error budgets, and continuous hardening; reduce MTTR through automation and clear runbooks.
- Mature change management across teams; manage dependencies and integration points; steward backward compatibility and deprecation processes.
- Optimize cost and performance (autoscaling, concurrency, GPU/CPU scheduling for inference, storage/egress controls).
- Mentor engineers; create reusable templates, SDKs, and reference architectures; influence cross team roadmaps.
- Lead vendor/tool evaluations; balance build vs. buy; steward total cost of ownership and compliance requirements, especially with AI offerings.
- Integrate services with model endpoints, vector indexes, and metadata/catalog systems; follow contracts and versioning standards for backward compatibility.
Benefits
- In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Insurance Carriers and Related Activities
Number of Employees
5,001-10,000 employees
