{"id":1581854,"url":"https://alion.io/job/howmet-senior-data-ai-developer","title":"Senior Data AI Developer","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":75,"open_postings":5,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-10-05T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Torrance, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":95000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-17T22:59:09Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-06T00:25:49Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"We are seeking a Senior Data & AI Developer to design, build, and support enterprise data, analytics, and AI solutions. This role will develop scalable data pipelines, enterprise data models, Power BI solutions, and AI-enabled applications that transform business data into actionable insights and automation opportunities.\nThe ideal candidate combines strong data engineering and analytics skills with hands-on AI experience to identify business opportunities, develop proofs-of-concept, and deliver solutions using modern data and AI technologies.\nKey Responsibilities\nData & Analytics\nDesign, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments.\n\nDesign and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies.\n\nDesign scalable data models and integration patterns to support enterprise analytics and AI initiatives.\n\nEstablish event-driven, streaming, batch, and API-based integration patterns across enterprise systems.\n\nBuild and maintain data integration pipelines for ERP, CRM, PLM, MES, and other enterprise applications.\n\nImplement data validation, monitoring, quality controls, and data governance best practices.\n\nDesign, develop, and maintain enterprise Power BI reports, dashboards, and scorecards.\n\nDevelop reusable semantic models, datasets, and data products that enable self-service analytics.\n\nOptimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance.\n\nCollaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions.\n\nOptimize SQL queries and data processing performance to ensure scalable and efficient data solutions.\n\nEvaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency.\nAI & Automation\nEvaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency.\n\nPartner with business stakeholders to identify, prioritize, and deliver AI use cases that improve productivity, decision-making, and operational efficiency.\n\nIntegrate AI capabilities with enterprise applications and data platforms using APIs and Python.\n\nCreate AI proofs-of-concept and transition successful solutions into production.\n\nDevelop AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).\n\nDesign and implement AI agents and agentic workflows where appropriate.\n\nEstablish best practices for AI security, governance, and responsible AI usage.\n\n Education & Experience\nBachelor’s degree in computer science, Information Systems, Data Analytics, Engineering, or a related technical field.\n\n5+ years of experience designing and developing enterprise data, analytics, or BI solutions.\n\n3+ years of hands-on experience developing Power BI enterprise reporting solutions.\n\nExperience in design and development of data integration, ETL/ELT, and data warehousing\n\nExperience with Microsoft Azure data services, Microsoft Fabric, or similar cloud data platforms.\n\nExperience developing AI-enabled applications using Python, Azure OpenAI, Large Language Models (LLMs), or machine learning technologies is preferred.\n\nStrong analytical, problem-solving, and communication skills, with the ability to collaborate effectively with business and technical teams.\n\nTechnical Skills\nData & Analytics\nData Modeling\n\nData Warehousing\n\nData Lakehouse\n\nETL/ELT\n\nSSIS, REST API’s\n\nAzure Data Factory\n\nAzure Data Lake Storage (ADLS)\n\nAzure DevOps, Git, CI/CD\n\nPower BI\n\nDAX\n\nPower Query\n\nSemantic Models\n\nDevOps, Git, CI/CD\n\nAI & Machine Learning\nPython \nscikit-learn \nLarge Language Models (LLMs) \nRetrieval-Augmented Generation (RAG) \nML frameworks (PyTorch, TensorFlow, scikit-learn)\nEmployees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position;\nThis position is subject to the International Traffic in Arms Regulations (ITAR) which requires U.S. person status. ITAR defines U.S. person as an U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.\nBenefits/Salary:\nThe position includes competitive wages and a comprehensive benefits package available day one of hire, including health insurance (medical, dental, vision), excellent 401k matching program, paid holidays and vacation. Howmet Aerospace curates a strong working environment through opportunities for career progression, community engagement activities, and flexible schedules contingent upon role and location. 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