Staff AI Platform Engineer

Abbott

. Lead design of major enterprise 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 distributed systems, security, and observability. Proven ability to lead technical decisions, mentor engineers, and engage with stakeholders across various teams.

Highest-signal resume keywords

Enterprise AI Platform DesignPython ProgrammingDistributed Systems ExperienceIncident Response LeadershipSecurity and Responsible-AI Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPlatform EngineeringAPI DesignTestingInfrastructure as CodeCI/CDCloud ServicesModel GatewaysGenAI RuntimesObservability/Tracing

Soft Skills

Clear CommunicationTechnical InfluenceMentoring

Tools & Technologies

KubernetesOpenTelemetryMCP

Industry Keywords

Health TechMed-TechLife SciencesGxPHIPAAValidationChange-Control Constraints

Tech Stack

Tools & technologies

CloudDistributed SystemsJavaKubernetesPythonSDLCTypeScriptGo

About the role

Key responsibilities & impact

Lead design of major enterprise AI platform capabilities, including multi-provider model gateways, GenAI runtimes, agent/model registries, and evaluation and tracing pipelines
Make and 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, conduct root-cause analysis, and improve resilience
Set engineering standards through architecture reviews, design documents, and code reviews
Identify and resolve systemic technical risk
Make build-versus-buy and vendor recommendations with cost and tradeoff analysis
Mentor and technically develop mid-level and junior engineers
Act as technical lead on cross-team initiatives without formal people-management responsibility
Partner with the Product Manager, AI Platform, to sequence the roadmap
Engage senior stakeholders across AI/Agentic Engineering, Applied Data Science, and security
Travel approximately 10% of the time

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, such as Kubernetes
Experience with infrastructure as code, CI/CD, cloud services, and production SLO/on-call practices
Experience leading incident response
Bachelor's degree in a related field or equivalent professional experience
Ability to drive technical decisions with significant autonomy
Ability to influence engineers outside a direct reporting line
Clear communication with technical leadership
Preferred: experience building enterprise GenAI or agent platforms
Preferred: experience in highly regulated environments such as health tech, med-tech, or life sciences, including GxP, HIPAA, validation, and change-control constraints
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 experience

Benefits

Comp & perks

Career development with an international company
Free medical coverage in the Health Investment Plan (HIP) PPO medical plan, subject to eligibility
Excellent retirement savings plan with a high employer contribution
Tuition reimbursement
Freedom 2 Save student debt program
FreeU education benefit
Opportunities to grow and learn
Health and wellness benefits