Senior AI Platform Engineer

Abbott; Illinois; On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Free medical coverage (HIP PPO)

Excellent retirement plan with high em

Tuition reimbursement & FreeU

Recognition as great place to work

Job summary

Abbott is seeking a senior platform engineer to drive architecture and delivery for segments of the AI Platform. You will set technical direction, partner with architects, and serve as a primary escalation point for consuming teams.

Responsibilities include leading design of platform capabilities, ensuring scalability, security, and operability, and guiding incidents and governance across services. Excellent opportunity for impact in a health tech environment.

Qualifications

• 8-10 years of software engineering, platform engineering, distributed systems, or infrastructure experience, with a track record of owning significant technical scope.
• Hands-on experience designing and operating enterprise AI/GenAI platforms or comparable developer, data, or ML platforms in production at scale.
• Strong software engineering ability in Python and at least one of TypeScript, Go, or Java, including distributed systems, API design, testing, and secure SDLC.
• Deep technical understanding of at least two of: model gateways, GenAI runtimes, RAG, agent/model registries, evaluation, observability/tracing, guardrails, or platform governance.
• Experience with containers and orchestration (e.g., Kubernetes), infrastructure as code, CI/CD, cloud services, and production SLO/on-call practices, including leading incident response.
• Demonstrated ability to drive technical decisions with significant autonomy, influence engineers outside a direct reporting line, and communicate clearly with technical leadership.

Responsibilities

• Lead the design of major platform capabilities (e.g., multi-provider model gateway, GenAI runtime, agent/model registries, evaluation and tracing pipelines) with minimal oversight, in partnership with the Tech Lead/Architect.
• Make and document architecture decisions and tradeoffs for the platform's control plane, paved-road SDKs, and developer experience, weighing scalability, security, cost, and operability.
• Drive platform observability and evaluation strategy, including distributed tracing, quality/drift/latency/cost signals, and standards other engineers build against.
• Lead implementation of security, guardrails, and responsible-AI controls across platform services.
• Own platform reliability engineering: define SLOs, lead incident response for high-severity issues, drive root-cause analysis, and improve resilience.
• Set engineering standards through architecture reviews, design docs, and code reviews; identify and resolve systemic technical risk before it blocks delivery.
• Make build-versus-buy and vendor recommendations with cost/tradeoff analysis, in partnership with the Tech Lead/Architect and Product Manager.
• Mentor and technically develop mid-level and junior engineers; act as a technical lead on cross-team initiatives without formal people-management responsibility.
• Partner with the Product Manager, AI Platform to sequence roadmap, and directly engage senior stakeholders across AI/Agentic Engineering, Applied Data Science, and security on feasibility and design.

Skills

Python

TypeScript

Go

Java

Kubernetes

CI/CD

Distributed systems

Education

Bachelor's degree in a related field

Tools

Docker

Cloud services

Job description

Abbott is seeking a senior platform engineer to drive architecture and delivery for segments of the AI Platform. You will set technical direction, partner with architects, and serve as a primary escalation point for consuming teams.

Responsibilities include leading design of platform capabilities, ensuring scalability, security, and operability, and guiding incidents and governance across services. Excellent opportunity for impact in a health tech environment.