{"id":3041073,"url":"https://alion.io/job/abbott-principal-ai-platform-engineer","title":"Principal AI Platform 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":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Abbott Park, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":149300,"max":298700,"currency":"USD","period":"year","gross":null,"usd_annual":298700},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Go","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Langfuse","optional":false},{"name":"Least Privilege","optional":false},{"name":"LiteLLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"FinOps","optional":true},{"name":"HIPAA","optional":true},{"name":"LLM Evaluation","optional":true}],"status":"live","first_seen_at":"2026-10-12T00:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-24T13:17:30Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"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:\nThe Opportunity\nA hands-on technical leadership role accountable for the architecture, engineering, and reliability of Abbott's enterprise AI Platform: the control plane and paved road that let teams build, deploy, and operate enterprise GenAI and agentic systems safely and quickly. This role is the technical counterpart to the Product Manager, AI Platform and partners with AI Product Managers, AI/Agentic Engineering, Applied Data Science, security, and division engineering teams. The role is Director-mapped and begins as a player-coach, with responsibility to grow and lead a platform engineering team.\nWhat You'll Do\nDefine and evolve the reference architecture for the AI control plane, paved-road services, SDKs, templates, and developer experience.\nDesign and build a model gateway that supports multi-provider routing, failover, quota and rate limiting, tenant isolation, key management, token accounting, and cost allocation (e.g., a LiteLLM-style gateway over Azure OpenAI, Amazon Bedrock, or Vertex AI).\nDeliver a GenAI runtime for model serving, retrieval-augmented generation, context and memory stores, vector and hybrid search, sandboxed tool or code execution, secrets brokering, and MCP-style tool interoperability.\nOwn the technical design of model, agent, prompt, and tool registries, including versioning, lineage, approval and promotion gates, deprecation, and auditability.\nBuild platform observability and traceability for prompts, model calls, tool calls, and agent steps using distributed tracing (e.g., OpenTelemetry GenAI semantic conventions and Langfuse- or Arize-class tooling), with evaluation, quality, drift, latency, and cost signals.\nImplement security, guardrails, and responsible-AI controls in the platform, including PII/PHI handling, prompt-injection defenses, identity-on-behalf-of, least-privilege tool access, and policy enforcement.\nEstablish platform engineering practices using Kubernetes, infrastructure as code, CI/CD, secure software development, capacity management, and reliability engineering. Define SLOs, participate in on-call, and lead incident response.\nWrite and review production code, conduct architecture reviews, set engineering standards, and make pragmatic build-versus-buy and vendor recommendations with budget input.\nHire, coach, and develop a platform engineering team of approximately 3-8 engineers; allocate work, set goals, and manage career development while remaining technically hands-on.\nPartner with the Product Manager, AI Platform to sequence the platform roadmap, communicate tradeoffs, and measure adoption, reliability, time-to-onboard, and consumer-team outcomes.\nRequired Qualifications\n10-15+ years of software engineering, platform engineering, distributed systems, or infrastructure experience, including significant technical leadership.\nHands-on experience designing and operating enterprise AI/GenAI platforms or comparable developer, data, or ML platforms in production.\nStrong software engineering ability in Python and at least one of TypeScript, Go, or Java, with experience in APIs, distributed systems, testing, code review, and secure SDLC.\nDeep technical understanding of model gateways, GenAI runtimes, RAG, agent registries, evaluation, observability, traceability, guardrails, identity, and platform governance.\nExperience with containers and orchestration (e.g., Kubernetes), infrastructure as code, CI/CD, cloud services, secrets management, and production SLOs and on-call practices.\nBachelor's degree in a related field or equivalent professional experience.\nDemonstrated ability to lead technical decisions, influence across teams, communicate clearly with senior stakeholders, and manage a growing engineering team.\nPreferred Qualifications\nExperience building enterprise GenAI or agent platforms using capabilities such as multi-model routing, agent registries, prompt management, evaluation harnesses, and GenAI tracing.\nExperience in a highly regulated environment such as health tech, med-tech, or life sciences, with GxP, HIPAA, validation, auditability, and change-control constraints.\nExperience implementing security, responsible-AI, privacy, policy, and cost or FinOps controls for shared AI infrastructure.\nExperience with open standards and tooling such as MCP, OpenTelemetry, Kubernetes, and cloud-native platform engineering practices.\nThe base pay for this position is\n$149,300.00 - $298,700.00In 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:\nWORK 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)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":5500,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"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":"2026-10-21T22:43:54Z"}],"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":42,"band":"fade","label":"Fading","p_open":1,"p_active":0.554,"p_room":0.75,"age_days":13,"expected_fill_days":14,"reasons":["conf:16","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":{"stated_usd_annual":298700,"is_top_pay":true},"html_url":"https://alion.io/job/abbott-principal-ai-platform-engineer","json_url":"https://alion.io/job/abbott-principal-ai-platform-engineer.json","meta":{"generated_at":"2026-10-25T23:01:57Z","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":32443,"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-principal-ai-platform-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-principal-ai-platform-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-principal-ai-platform-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-principal-ai-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fabbott-principal-ai-platform-engineer"}]}