{"id":2210691,"url":"https://alion.io/job/cardinal-health-aiml-engineer","title":"AI/ML Engineer","company":{"id":1779154,"name":"Cardinal Health","domain":"cardinalhealth.com","url":"https://alion.io/company/cardinalhealth-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":14,"ghost_share":0,"stale_share":0.714,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":96300,"max":123840,"currency":"USD","period":"year","gross":null,"usd_annual":123840},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"Google GKE","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenShift","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false}],"status":"live","first_seen_at":"2026-10-10T00:30:37Z","employer_posted_date":null,"last_verified_at":"2026-10-10T00:30:37Z","board_verified":false,"closed_at":null,"days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"What Data Science contributes to Cardinal Health\n\nThe Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.\n\nData Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.\n\nJob Overview\nWe are seeking a product-oriented AI/ML Engineer who partners with product managers, software engineers, data engineers, and business stakeholders to design and deliver enterprise-scale Generative AI solutions. In this role, you will be hands-on in the development of AI-powered applications, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, intelligent automation workflows, and conversational experiences.\nThe ideal candidate combines strong software engineering fundamentals with expertise in modern AI technologies and cloud-native application development. You will be responsible for transforming business problems into scalable AI solutions, building production-grade ML systems, integrating AI capabilities into enterprise platforms, and ensuring solutions are secure, reliable, and measurable.\n\nThis role is ideal for an engineer who enjoys working across the full lifecycle of AI products, from experimentation and prototyping to deployment, monitoring, optimization, and business adoption.\nQualifications\n\n4-8 years of experience in Software Engineering, Machine Learning Engineering, AI Engineering, or related fields preferred.\n\nBachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related discipline; equivalent experience considered.\n\nStrong proficiency in Python and experience developing production-grade applications.\n\nExperience building REST APIs using frameworks such as FastAPI, Flask, or similar technologies.\n\nExperience working within Agile and SDLC frameworks.\n\nExperience using GitHub and CI/CD platforms (GitHub Actions, GitLab, Azure DevOps, Jenkins, Harness, etc.).\n\nExperience containerizing applications using Docker.\n\nExperience deploying and managing workloads on Kubernetes platforms (GKE, AKS, EKS, OpenShift, etc.).\n\nExperience working with cloud platforms such as Google Cloud Platform (GCP), Azure, or AWS.\n\nRequirements\n\nExperience designing and implementing Generative AI solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, Mistral, or similar).\n\nStrong understanding of Retrieval-Augmented Generation (RAG) architecture and vector databases.\n\nExperience building AI Agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or equivalent.\n\nExperience integrating AI services through APIs and enterprise systems.\n\nKnowledge of prompt engineering, evaluation frameworks, and AI application optimization techniques.\n\nFamiliarity with MLOps and LLMOps concepts, including model deployment, monitoring, observability, and governance.\n\nExperience implementing responsible AI, security, privacy, and compliance controls for enterprise AI solutions.\n\nAbility to develop scalable AI solutions using cloud-native architectures and event-driven patterns.\n\nExperience working with relational and NoSQL databases.\n\nStrong understanding of software design patterns, testing strategies, and production support practices.\n\nProven ability to collaborate effectively with product teams to translate business requirements into AI-powered solutions.\n\nExcellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.\n\nWhat is expected of you and others at this level\n\nApplies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects\n\nMay contribute to the development of policies and procedures\n\nWorks on complex projects of large scope\n\nDevelops technical solutions to a wide range of difficult problems\n\nSolutions are innovative and consistent with organization objectives\n\nCompletes work; independently receives general guidance on new projects\n\nWork reviewed for purpose of meeting objectives\n\nMay act as a mentor to less experienced colleagues\n\nAnticipated salary range: $96,300 - $123,840\nBonus eligible: No\nBenefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.\n\nMedical, dental and vision coverage\n\nPaid time off plan\n\nHealth savings account (HSA)\n\n401k savings plan\n\nAccess to wages before pay day with myFlexPay\n\nFlexible spending accounts (FSAs)\n\nShort- and long-term disability coverage\n\nWork-Life resources\n\nPaid parental leave\n\nHealthy lifestyle programs\n\nApplication window anticipated to close: 09/20/2026 *if interested in opportunity, please submit application as soon as possible.\n\nThe salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.\nCardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.\n\nTo read and review this privacy notice click here\nOriginally posted on Himalayas","description_format":"text","description_chars":6194,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Pharmaceutical Distribution","Medical Equipment Distribution"],"lifecycle":[{"event":"open","at":"2026-10-10T02:28:30Z"},{"event":"open","at":"2026-10-12T05:51:38Z"}],"visa":[],"liveness":{"score":56,"band":"ok","label":"Likely open","p_open":1,"p_active":0.622,"p_room":0.9,"age_days":10,"expected_fill_days":25,"reasons":["seen:10","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":123840,"is_top_pay":false},"html_url":"https://alion.io/job/cardinal-health-aiml-engineer","json_url":"https://alion.io/job/cardinal-health-aiml-engineer.json","meta":{"generated_at":"2026-10-20T15:05:32Z","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":17002,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":1779154},"rest":"https://alion.io/mcp/rest/get_company?id=1779154"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcardinal-health-aiml-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%2Fcardinal-health-aiml-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%2Fcardinal-health-aiml-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/cardinal-health-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcardinal-health-aiml-engineer"}]}