{"id":64113,"url":"https://alion.io/job/humana-lead-ai-applied-engineer","title":"Lead AI Engineer","company":{"id":2742,"name":"Humana","domain":"humana.com","url":"https://alion.io/company/humana","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":34,"ghost_share":0.029,"stale_share":0.059,"repost_share":0.235,"time_to_fill_p50_days":14,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Louisville, United States","New York, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170800,"max":234800,"currency":"USD","period":"year","gross":null,"usd_annual":234800},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Incident Management","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Gemini","optional":true},{"name":"Kubernetes","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Next.js","optional":true},{"name":"OCR","optional":true},{"name":"PostgreSQL","optional":true},{"name":"React.js","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-28T09:25:44Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":70},"description":"Become a part of our caring community\n\nYou have shipped AI products before. You understand the difference between a demo and a production system. You have strong opinions about evaluation frameworks because you have experienced the consequences of operating without them. You are at your best when you own architecture decisions while continuing to build and deliver critical code yourself.We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to source documents, and route complex cases to human experts. The output of these systems supports healthcare decisions that impact real members.\nAs a Lead AI Applied Engineer, you will provide technical leadership for AI-enabled products and platforms, define architectural direction, establish engineering standards, and personally design and build the most critical components of our systems. You will lead through both technical expertise and execution, helping the team deliver reliable, scalable, and auditable AI solutions in a highly regulated healthcare environment.Why Join Us\nLead the architecture of production AI systems where LLMs are foundational to the product experience.\nMake key technical decisions regarding model selection, system boundaries, platform architecture, and build-versus-buy strategies.\nOwn the highest-risk and highest-impact technical challenges involving reliability, explainability, and correctness.\nInfluence engineering culture and establish standards that shape how the team builds and ships AI products.\nWork on systems operating at meaningful scale, processing millions of documents and supporting healthcare decisions across a large member population.\nPartner with highly skilled engineers while remaining deeply hands-on in coding, design, and production operations.\nSimplify complex solutions and drive pragmatic engineering decisions that maximize business value.\nKey Responsibilities\nOwn the architecture, design, and evolution of full-stack AI applications, including LLM pipelines, retrieval systems, agentic workflows, human-in-the-loop processes, and supporting platform services.\nDesign and implement scalable AI solutions that prioritize reliability, accuracy, auditability, performance, and cost efficiency.\nBuild and maintain the most complex and high-risk system components where architecture and implementation decisions have significant business impact.\nDefine and enforce engineering standards for AI systems, including evaluation methodologies, structured outputs, observability, testing, fallback strategies, latency optimization, and cost controls.\nLead technical design reviews and guide architecture decisions related to platform capabilities, AI systems, integrations, infrastructure, and software patterns.\nEvaluate and recommend technologies, frameworks, AI models, and third-party solutions based on technical and business requirements.\nTranslate ambiguous business goals into clear technical strategies, roadmaps, and executable workstreams.\nProvide technical leadership across multiple projects, ensuring alignment with architectural standards and long-term platform objectives.\nMentor and coach engineers through design reviews, code reviews, pair programming, and technical guidance.\nPartner with product, engineering, clinical, and operational stakeholders to deliver solutions that meet business and regulatory requirements.\nOwn operational excellence, including deployment strategies, monitoring, incident management, and production reliability.\nEnsure all solutions comply with privacy, security, governance, and audit requirements within a regulated healthcare environment.\n\nUse your skills to make an impact\n\nRequired Qualifications\nBachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.\n\n8+ years of software engineering experience, including experience designing and operating production systems at scale.\n\nProven track record of delivering AI-enabled products or platforms into production environments.\n\nDeep hands-on experience integrating and operating LLMs within business-critical workflows.\n\nExperience designing systems that leverage structured outputs, tool calling, retrieval-augmented generation (RAG), agentic workflows, orchestration frameworks, and evaluation pipelines.\n\nExperience making architectural decisions for systems where AI is a core component of the product experience.\n\nDemonstrated success leading technical initiatives across engineering teams, including architecture reviews, technical planning, mentoring, and delivery execution.\n\nStrong programming skills in Python and/or TypeScript/JavaScript.\n\nExperience designing and operating distributed systems, APIs, data platforms, and cloud-native applications.\n\nStrong understanding of reliability engineering, system performance, scalability, and operational excellence.\n\nAbility to balance technical tradeoffs involving quality, latency, cost, security, and maintainability.\n\nPreferred Qualifications\nExperience taking AI products from concept through production deployment and long-term operational ownership.\n\nExperience developing AI systems where LLMs are part of critical decision-support or operational workflows.\n\nExpertise in evaluation frameworks, benchmark datasets, regression testing, model quality measurement, and human review processes.\n\nExperience with agentic systems, Model Context Protocol (MCP), workflow orchestration, multi-step reasoning frameworks, and AI observability platforms.\n\nExperience with React, Next.js, modern frontend technologies, and full-stack application development.\n\nExperience deploying and managing workloads using Kubernetes, Docker, modern CI/CD platforms, and cloud-native technologies.\n\nExperience with Google Cloud Platform, Azure, AWS, Vertex AI, or comparable AI and cloud infrastructure platforms.\n\nExperience working in highly regulated industries such as healthcare, financial services, or government.\n\nKnowledge of privacy, compliance, security, and governance frameworks impacting AI and data-driven applications.\n\nExperience implementing AI-assisted development practices that improve engineering productivity and delivery speed.\n\nExcellent communication, collaboration, problem-solving, and leadership skills.\n\nLeadership Expectations\nLead through technical excellence, sound engineering judgment, and hands-on execution.\n\nEstablish standards that drive consistency, reliability, and quality across the engineering organization.\n\nInfluence architectural direction while balancing innovation with operational stability.\n\nFoster a culture of ownership, continuous learning, mentorship, and accountability.\n\nDrive alignment across teams and stakeholders to ensure successful delivery of strategic initiatives.\n\nSuccess in This Role\nSuccessful candidates are passionate about building production-grade AI systems where correctness, transparency, and reliability matter. You enjoy solving difficult engineering problems, making thoughtful architectural decisions, and helping teams deliver high-impact solutions.\nYou are equally comfortable defining system architecture, mentoring engineers, reviewing designs, responding to production incidents, and writing code for the most critical parts of the platform.\nTechnology Stack\nTypeScript\n\nReact / Next.js\n\nPython\n\nPostgreSQL\n\nGemini on Vertex AI\n\nOCR and Document AI technologies\n\nDocker\n\nKubernetes\n\nModern CI/CD platforms and tooling\n\nAdditional Information\nThis role operates in a highly regulated environment. Responsible handling of sensitive and protected data is a fundamental requirement and a core part of our engineering culture. Success in this role requires a commitment to building secure, compliant, auditable, and trustworthy AI systems.\nWork Style: This position follows a hybrid work schedule, requiring employees to work three days per week in the office and the remaining days remotely. Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets.\nScheduled Weekly Hours\n40Pay Range\nThe compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$170,800 - $234,800 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.Description of Benefits\nHumana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.\nAbout Us\n\nAbout Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. Equal Opportunity Employer\nIt is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.","description_format":"text","description_chars":10788,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work","Life insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Home Care Services","Primary Care & Medical Centers","Pharmacies","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-08-19T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 339 · green card filings: 89","filings_12m":339,"filings_prev_12m":256,"green_card_filings_12m":89,"median_offered_wage_usd":137500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":193}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.404,"p_room":0.28,"age_days":70,"expected_fill_days":14,"reasons":["conf:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":234800,"is_top_pay":true},"html_url":"https://alion.io/job/humana-lead-ai-applied-engineer","json_url":"https://alion.io/job/humana-lead-ai-applied-engineer.json","meta":{"generated_at":"2026-10-28T12:14:22Z","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":16118,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":2742},"rest":"https://alion.io/mcp/rest/get_company?id=2742"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhumana-lead-ai-applied-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%2Fhumana-lead-ai-applied-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%2Fhumana-lead-ai-applied-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/humana-lead-ai-applied-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhumana-lead-ai-applied-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":64113}},{"tool":"search_jobs","arguments":{"company":"humana.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":64113},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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