{"id":3040816,"url":"https://alion.io/job/howmet-aerospace-cloud-ai-engineer","title":"Cloud & AI Engineer","company":{"id":2065140,"name":"Howmet Aerospace","domain":"howmet.com","url":"https://alion.io/company/howmet","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":79,"open_postings":44,"ghost_share":0,"stale_share":0.841,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Whitehall, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":217000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":508},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Machine Learning","optional":false},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Microsoft Entra ID","optional":true},{"name":"OpenAI","optional":true},{"name":"PowerShell","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-21T19:25:35Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-26T00:15:03Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Position Summary\nHowmet Engines Shared Services is seeking a Cloud and AI Engineer to join a close, cross-functional team supporting enterprise IT infrastructure, cloud services, and the responsible adoption of artificial intelligence across the business. This role designs, builds, supports, and continuously improves Azure-based data, AI, and integration capabilities that enable secure, reliable, and scalable business and manufacturing solutions.\nThe successful candidate will combine cloud engineering, data and AI platform experience, and strong operational discipline. They will work with infrastructure, security, application, data, and manufacturing teams to develop and operationalize AI and machine-learning solutions, including their integration with process-control environments. The role requires sound judgement, excellent troubleshooting skills, and the ability to translate business and operational requirements into supportable technical solutions.\nResponsibilities\nDesign, implement, administer, and support Azure cloud services used for AI, data, and business applications, including compute, storage, networking, identity, security, and monitoring capabilities.\nBuild and support machine-learning development and deployment workflows using Azure Machine Learning, including data preparation, experiment tracking, model registration, deployment, monitoring, and lifecycle management.\nConfigure and support Azure AI Foundry capabilities to enable governed development, evaluation, deployment, and monitoring of generative-AI and other AI solutions.\nAssist data scientists, application teams, and business stakeholders in operationalizing models for reliable integration with process-control environments, ensuring solutions are appropriately tested, monitored, documented, and supportable.\nDevelop and maintain secure integration patterns between cloud-based AI services, enterprise applications, data platforms, and manufacturing or operational technology environments.\nApply security, identity, networking, configuration, logging, and data-protection controls in accordance with established company standards and architecture.\nCollaborate with cybersecurity, infrastructure, data, application, and manufacturing teams to identify and remediate vulnerabilities, incidents, configuration issues, and operational risks.\nMonitor AI and cloud services for availability, performance, cost, model quality, drift, and operational health; investigate and resolve issues in a timely manner.\nContribute to capacity planning, performance optimization, high availability, backup, disaster recovery, and business-continuity requirements for cloud and AI services.\nAutomate repeatable cloud, AI, deployment, and operational activities using scripting and infrastructure-as-code practices.\nMaintain accurate technical documentation, including architectures, integrations, operational runbooks, support procedures, and solution configurations.\nParticipate in the full technology lifecycle, including requirements gathering, design, testing, implementation, support, upgrades, and continuous improvement.\n Basic Qualifications\nBachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline; or six years of relevant equivalent experience.\nThree or more years of experience supporting cloud, data, AI, machine-learning, software, or hybrid technology environments.\nExperience with Microsoft Azure services and cloud infrastructure concepts, including identity, networking, security, compute, storage, and monitoring.\nExperience developing, deploying, supporting, or integrating data, analytics, machine-learning, or AI solutions.\nAbility to work effectively with technical and non-technical stakeholders in a manufacturing or enterprise environment.\nWillingness and ability to travel up to 25% as required.\nEmployees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.\nThis position may require access to export-controlled technology; therefore, candidates must be a U.S. person as defined by U.S. export-control laws.\nPreferred Qualifications\nExperience with Azure Machine Learning, including model training, registration, managed endpoints, pipelines, monitoring, and MLOps practices.\nExperience with Azure AI Foundry, Azure OpenAI, Azure AI services, prompt engineering, model evaluation, and responsible-AI controls.\nExperience designing Azure architectures that integrate cloud, on-premises, enterprise, and operational technology environments.\nExperience operationalizing machine-learning or AI models for production use, including deployment automation, model monitoring, drift detection, versioning, and rollback approaches.\nFamiliarity with secure integration patterns and data flows involving process-control, manufacturing, industrial, or operational technology environments.\nExperience with Azure DevOps, Git, CI/CD pipelines, PowerShell, Python, Terraform, ARM templates, or other automation and infrastructure-as-code tools.\nKnowledge of Microsoft Entra ID, Azure networking, private endpoints, role-based access control, logging, monitoring, and security best practices.\nExperience with data platforms, APIs, message-based integrations, SQL, data pipelines, or data-lake architectures.\nStrong troubleshooting, analytical, organizational, written, and verbal communication skills.\nAbility to work independently while contributing effectively in a collaborative, cross-functional team environment.","description_format":"text","description_chars":5545,"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":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Aerospace Manufacturing","Metals & Metallurgy","Automotive Components"],"lifecycle":[{"event":"open","at":"2026-10-21T22:40:52Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":132500,"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},{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-24T06:24:00+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":42,"reasons":["conf:5","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/howmet-aerospace-cloud-ai-engineer","json_url":"https://alion.io/job/howmet-aerospace-cloud-ai-engineer.json","meta":{"generated_at":"2026-10-26T13:06:02Z","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":18171,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":2065140},"rest":"https://alion.io/mcp/rest/get_company?id=2065140"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhowmet-aerospace-cloud-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%2Fhowmet-aerospace-cloud-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%2Fhowmet-aerospace-cloud-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/howmet-aerospace-cloud-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhowmet-aerospace-cloud-ai-engineer"}]}