{"id":3029873,"url":"https://alion.io/job/abbott-staff-aiagentic-engineer","title":"Staff AI/Agentic Engineer","company":{"id":2710,"name":"Abbott","domain":"abbott.com","url":"https://alion.io/company/abbott","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":378,"ghost_share":0.003,"stale_share":0.643,"repost_share":0.026,"time_to_fill_p50_days":14,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":113300,"max":226700,"currency":"USD","period":"year","gross":null,"usd_annual":226700},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Context Engineering","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"HIPAA","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-24T13:17:30Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:\nWorking at Abbott\nAt 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. You’ll also have access to:\nCareer development with an international company where you can grow the career you dream of.\nEmployees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.\nAn excellent retirement savings plan with a high employer contribution\nTuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.\nA 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.\nA 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.\nThe Opportunity\nA senior individual-contributor engineering role that sets technical direction for production agentic systems at Abbott. This role leads the design of complex multi-agent solutions and reusable engineering patterns, partners closely with the Tech Lead/Architect on architecture decisions and is a primary technical escalation point across the AI/Agentic Engineering team. Expected to operate with substantial autonomy and to raise the technical bar for the team.\nWhat You'll Do\nLead design and implementation of complex multi-agent systems, including supervisor, planner/executor, and multi-agent coordination patterns with well-defined boundaries and failure handling.\nSet standards for durable workflow design (state, checkpoints, replay, idempotency, compensation, human-in-the-loop) used across the AI/Agentic Engineering team.\nDrive context-engineering and retrieval strategy across multiple workflows: chunking/indexing, memory hierarchies, grounding, and context-window budgeting.\nLead evaluation strategy: design evaluation systems, curate datasets, define task-success and safety metrics, and establish regression gates in CI and online/shadow evaluation.\nOwn production reliability for high-complexity or high-risk agentic systems: latency/cost optimization at scale, rate-limit strategy, graceful degradation, and incident response leadership.\nSet engineering standards through architecture reviews, design docs, and code reviews; identify and resolve systemic technical risk in agent delivery.\nCreate reusable agent patterns, SDKs, and evaluation tooling that feed back into the platform paved road, in partnership with AI Platform Engineering.\nLead technical discovery with AI Product Managers, Platform Engineering, Applied Data Science, and business stakeholders; communicate feasibility, risk, and delivery commitments directly to senior stakeholders.\nMentor and technically develop mid-level and junior engineers; act as technical lead on cross-team initiatives without formal people-management responsibility.\nEducation and Experience You’ll Bring\nRequired Qualifications\n7-10 years of software engineering experience, with substantial delivery of distributed, API-driven, or workflow-intensive production systems.\nHands-on experience designing, coding, testing, deploying, and operating agentic or LLM-based applications in production at scale; expected to remain an active technical contributor.\nDeep understanding of agent architecture, tool calling, durable state, multi-agent coordination, context engineering, retrieval, evaluation, observability, and safety controls.\nStrong software engineering ability in Python and at least one of TypeScript, Go, or Java, including distributed systems, API design, testing, and secure SDLC.\nExperience defining measurable quality, safety, reliability, latency, and cost indicators and using evaluation results to drive systemic improvement across multiple workflows.\nBachelor's degree in a related field or equivalent professional experience.\nDemonstrated ability to drive technical decisions with significant autonomy, influence engineers outside a direct reporting line, and communicate effectively with technical leadership.\nPreferred Qualifications\nExperience with agent frameworks or durable workflow systems (e.g., LangGraph, Temporal, or comparable technologies) and model-provider APIs at scale.\nExperience in a highly regulated environment such as health tech, med-tech, or life sciences, including GxP, HIPAA, validation, and change-control constraints.\nExperience building secure tool-use systems, prompt-injection defenses, human-approval workflows, and responsible-AI controls for production agentic systems.\nTrack record of shipping reusable agent patterns, evaluation tooling, or paved-road capabilities adopted by multiple teams; prior informal technical leadership or mentoring track record.\nMisc: This is an onsite role at Abbott location in IL. This is not a remote role/opportunity.\nApply Now\nLearn more about our health and wellness benefits, which provide the security to help you and your family live full lives:www.abbottbenefits.com\nFollow 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.\nConnect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.\nThe base pay for this position is\n$113,300.00 - $226,700.00In specific locations, the pay range may vary from the range posted.\nJOB FAMILY:\nIT Services & Solutions DeliveryDIVISION:\nBTS Business Technology ServicesLOCATION:\nUnited States > Abbott Park : AP06CADDITIONAL LOCATIONS:\nUnited States > Chicago : Willis Tower Building 233 S Wacker Dr.WORK SHIFT:\nStandardTRAVEL:\nYes, 10 % of the TimeMEDICAL SURVEILLANCE:\nNot ApplicableSIGNIFICANT WORK ACTIVITIES:\nContinuous 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.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf","description_format":"text","description_chars":6671,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Cardiovascular Devices","Diabetes Devices","Neurotech & Neuromodulation"],"lifecycle":[{"event":"open","at":"2026-10-21T20:08:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"green card filings: 1","filings_12m":0,"filings_prev_12m":0,"green_card_filings_12m":1,"median_offered_wage_usd":112500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.591,"p_room":0.9,"age_days":9,"expected_fill_days":14,"reasons":["conf:16","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":226700,"is_top_pay":false},"html_url":"https://alion.io/job/abbott-staff-aiagentic-engineer","json_url":"https://alion.io/job/abbott-staff-aiagentic-engineer.json","meta":{"generated_at":"2026-10-25T16:50:11Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24283,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2710},"rest":"https://alion.io/mcp/rest/get_company?id=2710"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fabbott-staff-aiagentic-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fabbott-staff-aiagentic-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fabbott-staff-aiagentic-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/abbott-staff-aiagentic-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fabbott-staff-aiagentic-engineer"}]}