{"id":2752499,"url":"https://alion.io/job/worthington-enterprises-ai-engineer","title":"AI Engineer","company":{"id":1928448,"name":"Worthington Enterprises","domain":"worthingtonenterprises.com","url":"https://alion.io/company/worthingtonenterprises","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":91,"open_postings":12,"ghost_share":0,"stale_share":0.167,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Columbus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":113000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":451},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"Feature Store","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"n8n","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SharePoint","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tool Use","optional":false},{"name":"Alation","optional":true},{"name":"Docker","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLMOps","optional":true},{"name":"MLFlow","optional":true},{"name":"Prometheus","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Structured Outputs","optional":true}],"status":"live","first_seen_at":"2026-10-16T19:02:42Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-19T14:27:50Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"At Worthington Enterprises, we are not just experimenting with AI-we are embedding it into how we operate, make decisions, and create value for our customers.\nWe are looking for a hands-on, forward-thinking AI Engineer to transform governed enterprise data into impactful business solutions. You will build and deploy AI-powered applications, agents, predictive models, and intelligent workflows that help people work more efficiently, make better decisions, and improve operational performance. This is an opportunity to shape reusable enterprise AI patterns, tackle meaningful manufacturing and business challenges, and see your solutions progress from idea to measurable impact.\nThis hybrid role is based in Columbus, Ohio, and requires at 2 to 3 days per week on-site. Occasional travel-approximately 10%-to corporate and manufacturing locations may be required. This position is not eligible for relocation assistance or U.S. work sponsorship.\nWhat You'll Do\nDesign, build, deploy, and improve AI applications including enterprise agents, retrieval-augmented generation (RAG), natural-language analytics, predictive models, and workflow automations.\nBuild Snowflake-native AI and ML solutions using capabilities such as Cortex Agents, Cortex Search, semantic views and structured-data tools, Cortex AI functions, Snowpark, Model Registry, and Feature Store where appropriate.\nEngineer retrieval and context pipelines for structured and unstructured data, including ingestion, chunking, metadata, hybrid search, citations, permissions, and freshness.\nCreate reliable agentic workflows in n8n or comparable orchestration platforms, incorporating tool calling, human approval, retries, idempotency, secrets management, auditability, and exception handling.\nDevelop secure integrations with Microsoft 365, SharePoint, Teams, enterprise APIs, databases, file sources, and Model Context Protocol (MCP) tools.\nEstablish evaluation and monitoring practices for answer quality, task completion, drift, safety, latency, cost, adoption, and business value.\nApply software engineering practices including modular design, automated testing, code review, Git-based delivery, CI/CD, documentation, and production support.\nPartner with business teams to frame opportunities, prototype quickly, translate ambiguity into a delivery plan, and guide adoption of solutions that are useful and trusted.\nContribute reusable patterns, standards, and guardrails that help other teams and AI Champions build responsibly.\nContinuously evaluate new models and capabilities, separating durable value from short-lived hype.\nWhat We're Looking For\nBachelor’s degree in computer science, data science, engineering, information systems, or a related field-or equivalent practical experience.\nTypically 3-5 years of relevant experience in AI/ML engineering, software engineering, data engineering, or data science, including evidence of delivering at least one AI-enabled solution beyond a one-off prototype.\nStrong Python and SQL skills, plus experience with APIs, source control, testing, and maintainable application or pipeline development.\nHands-on experience with one or more of the following: LLM applications, RAG, tool-using agents, natural-language analytics, ML pipelines, or intelligent automation.\nUnderstanding of data modeling, identity and access control, privacy, secure development, and responsible AI principles.\nAbility to evaluate AI system quality systematically and diagnose failure modes rather than relying on anecdotal testing.\nStrong collaboration and communication skills, including the ability to explain tradeoffs to both technical and business partners.\nPreferred Qualifications\nSnowflake AI/ML experience, especially Cortex Agents, Cortex Search, semantic views, Snowpark, Model Registry, Feature Store, or related capabilities.\nn8n or comparable workflow/agent orchestration experience such as Workato, LangGraph, Semantic Kernel, or similar tools.\nMCP, function/tool calling, structured outputs, event-driven integrations, containers, serverless services, or cloud application delivery.\nLLMOps/MLOps practices, evaluation frameworks, observability, model/prompt versioning, Docker, CI/CD, or MLflow.\nEnterprise knowledge and productivity integrations involving Microsoft 365, SharePoint, Teams, or governed data catalogs such as Alation.\nExperience applying AI in manufacturing, supply chain, finance, operations, or another industrial domain.\nTeam and Collaboration Context\nYou will join the Corporate IT - Data, Analytics & AI team and partner with data engineering, analytics, architecture, security, infrastructure, and business functions. We value curiosity, sound judgment, disciplined experimentation, and people who enjoy turning difficult business problems into simple, reliable experiences.\nWhy Worthington?\nWorthington is applying modern AI inside a real operating business, where better data, smarter automation, and trusted decision support can improve how work gets done every day. This role offers the opportunity to build enterprise AI products that move beyond demos and become part of the way employees ask questions, automate tasks, and make decisions.\nBenefits\nHealth, dental, and vision insurance starting on the first day, including employer HSA contribution.\nOn-site medical center, pharmacy, barbershop, and fitness center.\n401(k) match plus employer contribution.\nEmployee Assistance Program.\nFlexible work schedule.\nQuarterly profit sharing, with no cap.","description_format":"text","description_chars":5485,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Relocation assistance","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Tools & DIY Supplies","Kitchens, Bathrooms & Home Improvement"],"lifecycle":[{"event":"open","at":"2026-10-17T00:27:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":2,"green_card_filings_12m":0,"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)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":65,"reasons":["conf:5","win:early"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/worthington-enterprises-ai-engineer","json_url":"https://alion.io/job/worthington-enterprises-ai-engineer.json","meta":{"generated_at":"2026-10-19T18:42:51Z","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":14572,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":1928448},"rest":"https://alion.io/mcp/rest/get_company?id=1928448"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fworthington-enterprises-ai-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%2Fworthington-enterprises-ai-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%2Fworthington-enterprises-ai-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/worthington-enterprises-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fworthington-enterprises-ai-engineer"}]}