{"id":2651372,"url":"https://alion.io/job/sensata-technologies-expert-ai-architect","title":"Expert AI Architect","company":{"id":5071,"name":"Sensata Technologies","domain":"sensata.com","url":"https://alion.io/company/sensata","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":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Attleboro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":181600,"max":249700,"currency":"USD","period":"year","gross":null,"usd_annual":249700},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Office","optional":false},{"name":"OpenAI","optional":false},{"name":"Outlook","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-15T21:52:20Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-24T02:33:57Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"The Expert AI Architect serves as the enterprise AI architecture authority, defining standards, frameworks, and best practices for scalable, secure, and responsible AI solutions. This role drives architectural consistency across AI platforms, agents, models, integrations, and governance while guiding technical direction across engineering, IT, cybersecurity, and business teams.General Responsibilities\nOwn and evolve the enterprise AI architecture vision and multi-year roadmap, setting direction for platforms, tools, frameworks, integration patterns, and reusable standards across diverse business and technology environments.\nLead the translation of highly complex, ambiguous business priorities into scalable AI architectures that shape enterprise technology and data strategy while meeting security, privacy, regulatory, and compliance requirements.\nArchitect and provide authoritative direction for end-to-end AI ecosystems spanning data pipelines, model development, deployment, observability, evaluation, lifecycle management, and integration with critical enterprise platforms.\nEstablish enterprise-wide architectural principles, governance frameworks, and decision criteria for generative AI, machine learning, large language models, retrieval-augmented generation, intelligent agents, APIs, and model integration, resolving the most complex or novel design challenges.\nInfluence enterprise priorities and investment decisions by building alignment among engineering, data science, product, cybersecurity, legal, compliance, and senior business stakeholders on responsible, resilient, and value-driven AI solutions.\nSet technical direction and guide multiple teams through implementation, validation, governance, operational readiness, and cost optimization for business-critical production AI systems.\nAnticipate industry and technology shifts; assess emerging AI capabilities, vendors, and frameworks; and define adoption strategies that balance innovation, enterprise risk, scalability, interoperability, and long-term sustainability.\nServe as the enterprise authority and escalation point for AI architecture, providing expert consultation, design review, and mentorship to senior engineers, architects, data scientists, and technical leaders across the organization.\nExperience / Qualifications\nA university degree required (i.e. Bachelors degree) or equivalent relevant work experience.\nMust be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands\nStrong communication skills; oral, written and presentation\nStrong organization, planning and time management skills to achieve results\nStrong personal and professional ethical values and integrity\nHolds self-accountable to achieving goals and standards\nProficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel)\nStrong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers\nAdditional Responsibilities:\nOwn the enterprise AI reference architecture and platform blueprint on Azure, covering agents, RAG, model services, the LLM gateway, identity, observability, and cost controls.\nDefine the patterns for Dev/Test/Prod environments, CI/CD, and infrastructure-as-code across AI solutions, and guide the AI Platform Lead in implementing them.\nBuild reference implementations, templates, and reusable components hands-on to prove out patterns and speed up delivery by AI engineers and data scientists.\nServe as design authority for internal and third-party AI solutions, leading architecture reviews and build/buy/reuse decisions.\nSet standards for model selection, evaluation, LLMOps/MLOps, security guardrails, and production readiness.\nOwn the AI platform architecture and standards, partnering with IT on the underlying cloud, network, and identity foundations.\nDesign how priority AI use cases across supply chain, commercial, quality, and engineering connect to core enterprise systems so they scale from pilot to production.\nAdditional Qualifications:\n12+ years of experience in software engineering, data, AI engineering, or enterprise architecture, including recent hands-on delivery of generative AI solutions.\nProven record of shipping GenAI/LLM solutions (agents, RAG, copilots) into production at enterprise scale.\nDeep expertise in Azure, including Azure AI Foundry, Azure OpenAI, Entra ID, and API management.\nStrong hands-on experience with CI/CD, infrastructure-as-code (e.g., Bicep, Terraform), and LLMOps/MLOps practices.\nExperience establishing architecture standards, design reviews, and reusable patterns adopted across multiple teams.\nSolid understanding of AI security, data governance, privacy, and responsible AI controls.\nAbility to influence senior business and technical leaders and turn business priorities into practical architecture decisions.\nExperience in manufacturing, industrial, or supply chain environments preferred.\nAdvanced degree and/or Azure, architecture, or AI certifications preferred\nBase Salary Range:\n$181,600.00 - $249,700.00\nAt Sensata, our employees are the key to our success and growth. We recognize that each individual brings their own unique experience, therefore the base salary range information shown above is a general guideline only. Sensata considers several factors when extending an offer, including, but not limited to, a candidate’s experience and qualifications, as well as internal equity, market and business considerations. In addition to base salary, Sensata offers competitive medical, dental, vision, life and disability insurance plans, along with education reimbursement, wellness programs, a 401(k) retirement plan with Company matching, and a variety of paid time off, such as vacation or flex-time, sick, bereavement, and parental leave. Certain positions are also eligible for short-term incentive and long-term incentive programs.\nSmarterTogether\nCollaborating at Sensata means working with some of the world’s most talented people in an enriching environment that is constantly pushing towards the next best thing\n\nEmployees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication\n\nAs OneSensata, we are working together to make things work together\n\nClick here to view Sensata Recruitment Privacy Statement\nClick here to view our Sensata Recruitment Privacy Statement for China\nNOTE: If you are a current Sensata employee (or one of our Affiliates), please back out of this application and log into Workday via the Company Intranet to apply directly. 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