Principal AI/Agentic Engineer
Company websiteabbott.com (Abbott, opens in new tab)
Base salary $149,300 to $298,700
Employer-published annual base salary, USD. Advertised base range in Abbott Park, IL
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationAbbott Park, IL
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
JOB DESCRIPTION:
About Abbott
About Abbott (standard corporate boilerplate; pull the current approved version from Talent Acquisition/Brand before external use): Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio spans diagnostics, medical devices, nutritionals, and branded generic medicines, and our colleagues serve people in more than 160 countries.
The Opportunity
A hands-on software engineering leadership role accountable for building production-grade agentic systems on Abbott's enterprise AI Platform. This role turns business and product requirements into reliable single- and multi-agent solutions, reusable engineering patterns, and measurable outcomes. The role is Director-mapped and begins as a player-coach: it leads delivery and technical standards while building and managing a team of agentic engineers.
What You'll Do
• Design, implement, and operate production agentic systems, including supervisor, planner/executor, and multi-agent patterns with explicit boundaries, failure handling, and human oversight.
• Build durable, resumable workflows with persistent state, checkpoints, replay, idempotency, compensation, and human-in-the-loop controls (e.g., LangGraph- or Temporal-style durable execution).
• Engineer tool and function integrations with Abbott enterprise systems, including MCP-style tool contracts, schemas, authorization, retries, timeouts, compensation, and failure containment.
• Develop context-engineering strategies covering retrieval, chunking and indexing, memory hierarchies, context-window budgeting, caching, structured outputs, and grounding.
• Create evaluation systems with curated datasets, task-success and safety metrics, LLM-as-judge and programmatic evaluators, regression gates in CI, and online, A/B, and shadow evaluation.
• Instrument agent applications through the platform's model and agent registries and tracing services so prompts, tool calls, intermediate steps, quality, cost, and latency are observable and auditable.
• Engineer for production reliability: streaming, concurrency, latency and token-cost optimization, rate limits, graceful degradation, secure deployment, SLOs, on-call, incident response, and rollback of agent regressions.
• Write and review substantial production code in Python and at least one of TypeScript, Go, or Java; establish testing, code review, API design, and secure software engineering practices.
• Lead technical discovery and delivery with AI Product Managers, Platform Engineering, Applied Data Science, security, and business stakeholders; communicate feasibility, risks, and delivery commitments.
• Hire, coach, and develop a team of approximately 3–8 agentic engineers; set goals, allocate work, review performance, and create reusable patterns that feed back into the platform paved road.
Required Qualifications
• 10–15+ years of software engineering experience, including substantial delivery of distributed, API-driven, or workflow-intensive production systems and technical leadership.
• Hands-on experience designing, coding, testing, deploying, and operating agentic or LLM-based applications in production; this role is expected to remain an active technical contributor.
• Strong understanding of agent architecture, tool calling, durable state, multi-agent coordination, context engineering, retrieval, evaluation, observability, and safety controls.
• Strong software engineering ability in Python and at least one of TypeScript, Go, or Java, including APIs, distributed systems, CI/CD, testing, code review, and secure SDLC.
• Experience defining measurable quality, safety, reliability, latency, and cost indicators and using evaluation results to improve systems through iterative releases.
• Bachelor's degree in a related field or equivalent professional experience.
• Demonstrated ability to lead engineers, make sound technical decisions under uncertainty, and communicate effectively with technical and non-technical stakeholders.
Preferred Qualifications
• Experience with agent frameworks or durable workflow systems (e.g., LangGraph, Temporal, or comparable technologies) and model-provider APIs.
• Experience in a highly regulated environment such as health tech, med-tech, or life sciences, including GxP, HIPAA, validation, auditability, and change-control constraints.
• Experience building secure tool-use systems, prompt-injection defenses, human-approval workflows, responsible-AI controls, and privacy-preserving agent experiences.
• Experience shipping reusable agent patterns, evaluation tooling, SDKs, or paved-road capabilities for multiple product or engineering teams.
The base pay for this position is
$149,300.00 – $298,700.00In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
IT Services & Solutions DeliveryDIVISION:
BTS Business Technology ServicesLOCATION:
United States > Abbott Park : AP06CADDITIONAL LOCATIONS:
WORK SHIFT:
StandardTRAVEL:
Yes, 15 % of the TimeMEDICAL SURVEILLANCE:
Not ApplicableSIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdfSource: Abbott on Workday · View original posting (opens in new tab)
This listingPrincipal AI/Agentic Engineer$149,300 to $298,700
Engineering Director, Preanalytics Solutions$149,300 to $298,700
Global Director, Digital Health Solutions Enterprise Accounts$149,300 to $298,700
Director, Marketing$149,300 to $298,700
Director Supply Chain$149,300 to $298,700
Site Quality Leader$149,300 to $298,700
Global Product Leader, AlinIQ® Sample Management (Indexor)$149,300 to $298,700
Chart as a table
| Role | Published base |
|---|---|
| Principal AI/Agentic Engineer (this listing) | $149,300 - $298,700 |
| Engineering Director, Preanalytics Solutions | $149,300 - $298,700 |
| Global Director, Digital Health Solutions Enterprise Accounts | $149,300 - $298,700 |
| Director, Marketing | $149,300 - $298,700 |
| Director Supply Chain | $149,300 - $298,700 |
| Site Quality Leader | $149,300 - $298,700 |
| Global Product Leader, AlinIQ® Sample Management (Indexor) | $149,300 - $298,700 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-12
Where this pay comes from
Location as the employer wrote it: United States - Illinois - Abbott Park
$149,300.00 – $298,700.00
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.