Staff AI Platform Engineer

Abbott

. Lead design of major AI platform capabilities including multi-provider model gateways, GenAI runtimes, agent/model registries, and evaluation and tracing pipelines .

Posted 10/16/2026full-timeAbbott Park • Illinois • United StatesLead💰 $129,300 - $258,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating enterprise AI platforms, with a strong focus on platform reliability engineering, security controls, and observability strategies. Proven ability to mentor engineers and drive technical decisions in a collaborative environment.

Highest-signal resume keywords

AI Platform DesignPlatform Reliability EngineeringPython ProgrammingDistributed SystemsSecurity Controls Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPlatform EngineeringAPI DesignTestingSecure SDLCModel GatewaysGenAI RuntimesEvaluationObservabilityCloud Services

Soft Skills

Technical LeadershipMentoringClear CommunicationInfluencing Without Authority

Tools & Technologies

KubernetesOpenTelemetryCI/CDInfrastructure as CodeContainersMCP

Industry Keywords

Health TechMed-TechLife SciencesResponsible AIPrivacy ControlsCost ControlsFinOps

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaKubernetesPythonSDLCTypeScriptGo

About the role

Key responsibilities & impact

Lead design of major AI platform capabilities including multi-provider model gateways, GenAI runtimes, agent/model registries, and evaluation and tracing pipelines
Document architecture decisions and tradeoffs for the control plane, paved-road SDKs, and developer experience
Drive platform observability and evaluation strategy, including distributed tracing and quality, drift, latency, and cost signals
Lead implementation of security, guardrails, and responsible-AI controls across platform services
Own platform reliability engineering, define SLOs, lead high-severity incident response, drive root-cause analysis, and improve resilience
Set engineering standards through architecture reviews, design documents, and code reviews
Make build-versus-buy and vendor recommendations with cost and tradeoff analysis
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 to sequence the roadmap and engage senior stakeholders across AI/Agentic Engineering, Applied Data Science, and security

Requirements

What you’ll need

8–10 years of software engineering, platform engineering, distributed systems, or infrastructure experience
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
Experience with 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, infrastructure as code, CI/CD, cloud services, and production SLO/on-call practices
Bachelor's degree in a related field or equivalent professional experience
Ability to drive technical decisions with significant autonomy, influence engineers outside a direct reporting line, and communicate clearly with technical leadership
Preferred: experience building enterprise GenAI or agent platforms
Preferred: experience in regulated environments such as health tech, med-tech, or life sciences
Preferred: experience implementing security, responsible-AI, privacy, policy, or cost/FinOps controls
Preferred: experience with MCP, OpenTelemetry, Kubernetes, and cloud-native platform engineering practices
Preferred: prior informal technical leadership or mentoring track record

Benefits

Comp & perks

Career development with an international company
Free medical coverage in the Health Investment Plan (HIP) PPO medical plan for qualifying employees
Excellent retirement savings plan with a high employer contribution
Tuition reimbursement
Freedom 2 Save student debt program
FreeU education benefit
Diverse workplace and recognition as a great place to work