What You'll Do
Lead design and implementation of complex multi-agent systems, including supervisor, planner/executor, and multi-agent coordination patterns with well-defined boundaries and failure handling.
Set standards for durable workflow design (state, checkpoints, replay, idempotency, compensation, human-in-the-loop) used across the AI/Agentic Engineering team.
Drive context-engineering and retrieval strategy across multiple workflows: chunking/indexing, memory hierarchies, grounding, and context-window budgeting.
Lead evaluation strategy: design evaluation systems, curate datasets, define task-success and safety metrics, and establish regression gates in CI and online/shadow evaluation.
Own production reliability for high-complexity or high-risk agentic systems: latency/cost optimization at scale, rate-limit strategy, graceful degradation, and incident response leadership.
Set engineering standards through architecture reviews, design docs, and code reviews; identify and resolve systemic technical risk in agent delivery.
Create reusable agent patterns, SDKs, and evaluation tooling that feed back into the platform paved road, in partnership with AI Platform Engineering.
Lead technical discovery with AI Product Managers, Platform Engineering, Applied Data Science, and business stakeholders; communicate feasibility, risk, and delivery commitments directly to senior stakeholders.
Mentor and technically develop mid-level and junior engineers; act as technical lead on cross-team initiatives without formal people-management responsibility.
Education and Experience You’ll Bring
Required Qualifications
7–10 years of software engineering experience, with substantial delivery of distributed, API-driven, or workflow-intensive production systems.
Hands-on experience designing, coding, testing, deploying, and operating agentic or LLM-based applications in production at scale; expected to remain an active technical contributor.
Deep 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 distributed systems, API design, testing, and secure SDLC.
Experience defining measurable quality, safety, reliability, latency, and cost indicators and using evaluation results to drive systemic improvement across multiple workflows.
Bachelor's 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 effectively with technical leadership.
Preferred Qualifications
Experience with agent frameworks or durable workflow systems (e.g., LangGraph, Temporal, or comparable technologies) and model-provider APIs at scale.
Experience in a highly regulated environment such as health tech, med-tech, or life sciences, including GxP, HIPAA, validation, and change-control constraints.
Experience building secure tool-use systems, prompt-injection defenses, human-approval workflows, and responsible-AI controls for production agentic systems.
Track record of shipping reusable agent patterns, evaluation tooling, or paved-road capabilities adopted by multiple teams; 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.
Apply Now
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
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 www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.
- The base pay for this position is
- $113,300.00 – $226,700.00
- In specific locations, the pay range may vary from the range posted.
JOB FAMILY
IT Services & Solutions Delivery
DIVISION
BTS Business Technology Services
LOCATION
United States > Abbott Park : AP06C
ADDITIONAL LOCATIONS
United States > Chicago : Willis Tower Building 233 S Wacker Dr.
WORK SHIFT
Standard
TRAVEL
Yes, 10 % of the Time
MEDICAL SURVEILLANCE
Not Applicable
SIGNIFICANT WORK ACTIVITIES
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)
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.pdf
EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf
