Lead AI Platform Engineer

CareBridge • Grand Prairie, TX

84d • $138,160 - $226,080

About The Position

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 a BA/BS degree in Information Technology, Computer Science or related field of study.
• Minimum of 7 years related experience; multi platform, multi-dimensional experience, and expert level experience with business and technical applications.

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

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase.
• 401k contribution.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Ambulatory Health Care Services
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees