Staff AI Platform Engineer
Job Location:
Chicago, IL - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Working at Abbott
At Abbott you can do work that matters grow and learn care for yourself and your family be your true self and live a full life. Youll also have access to:
- Career development with an international company where you can grow the career you dream of.
- Employees can qualify forfree medical coverage in ourHealth Investment Plan (HIP) PPOmedical plan in the next calendar year.
- An excellent retirement savings plan with a high employer contribution
- Tuition reimbursement the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelors degree.
- A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity working mothers female executives and scientists.
The Opportunity
A senior individual-contributor engineering role that drives architecture and delivery for significant portions of Abbotts enterprise AI Platform. This role sets technical direction for one or more platform capability areas partners closely with the Tech Lead/Architect on reference architecture decisions and is a primary technical escalation point for consuming teams. Expected to operate with substantial autonomy and to raise the technical bar for the team.
What Youll Do
- 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 platforms 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 (PII/PHI handling prompt-injection defenses identity-on-behalf-of policy enforcement) 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.
Education and Experience Youll Bring
Required Qualifications
- 810 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.
- Bachelors degree in a related field or equivalent professional experience.
- Demonstrated ability to drive technical decisions with significant autonomy influence engineers outside a direct reporting line and communicate clearly with technical leadership.
Preferred Qualifications
- Experience building enterprise GenAI or agent platforms using capabilities such as multi-model routing agent registries prompt management evaluation harnesses and GenAI tracing.
- Experience in a highly regulated environment such as health tech med-tech or life sciences with GxP HIPAA validation and change-control constraints.
- Experience implementing security responsible-AI privacy policy or cost/FinOps controls for shared AI infrastructure.
- Experience with open standards and tooling such as MCP OpenTelemetry Kubernetes and cloud-native platform engineering practices; prior informal technical leadership or mentoring track record.
Misc: This is an onsite role at Abbott location in IL. This is not a remote role/opportunity.
- Learn more about our health and wellness benefits which provide the security to help you and your family live full lives:
- Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer committed to employee diversity.
- Connect with us at on Facebook at and on Twitter @AbbottNews.
The base pay for this position is
$129300.00 $258700.00In specific locations the pay range may vary from the range posted.
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: EEO is the Law link - Espanol: Experience:
Staff IC
About Company
WHO WE ARE CREATING LIFE-CHANGING TECHNOLOGY From removing the regular pain of fingersticks as people manage their diabetes to connecting patients to doctors with real-time information monitoring their hearts, from easing chronic pain and movement disorders to testing half the world’s ... View more
