Expert AI Architect

Sensata Technologies • Attleboro, MA

1d • $181,600 - $249,700

About The Position

The Expert AI Architect serves as Sensata’s enterprise AI architecture authority, defining standards, frameworks, and best practices for scalable, secure, and responsible AI solutions. The role drives architectural consistency across AI platforms, agents, models, integrations, and governance, and guides technical direction across engineering, IT, cybersecurity, and business teams.

The position owns and evolves the enterprise AI architecture vision, multi-year roadmap, reference architecture, and Azure platform blueprint. It provides authoritative direction for end-to-end AI ecosystems and establishes patterns for agents, retrieval-augmented generation, model services, LLM gateways, identity, observability, cost controls, CI/CD, and infrastructure as code. The architect builds reference implementations and reusable components, leads design reviews and build/buy/reuse decisions, and sets standards for model selection, evaluation, LLMOps/MLOps, security guardrails, and production readiness.

The role translates complex business priorities into practical, scalable architectures that meet security, privacy, regulatory, and compliance requirements. It aligns technical and business stakeholders, guides teams through implementation and operational readiness, advises on adoption of emerging AI capabilities, and mentors senior technical professionals. Priority AI solutions connect to core enterprise systems across supply chain, commercial, quality, and engineering, with the goal of scaling from pilot to production.

Requirements

• University degree, such as a bachelor’s degree, or equivalent relevant work experience.
• 12+ years of experience in software engineering, data, AI engineering, or enterprise architecture, including recent hands-on delivery of generative AI solutions.
• Proven record of shipping GenAI/LLM solutions, such as agents, RAG, or copilots, into production at enterprise scale.
• Deep expertise in Azure, including Azure AI Foundry, Azure OpenAI, Entra ID, and API management.
• Strong hands-on experience with CI/CD, infrastructure as code, such as Bicep or Terraform, and LLMOps/MLOps practices.
• Experience establishing architecture standards, design reviews, and reusable patterns adopted across multiple teams.
• Solid understanding of AI security, data governance, privacy, and responsible AI controls.
• Ability to influence senior business and technical leaders and translate business priorities into practical architecture decisions.
• Ability to work collaboratively in a fast-paced environment and manage multiple competing tasks and demands.
• Strong oral, written, and presentation communication skills.
• Strong organization, planning, and time-management skills.
• Strong personal and professional ethical values and integrity; accountability for achieving goals and standards.
• Proficiency in Microsoft Office programs, including Outlook, Word, PowerPoint, and Excel.
• Strong interpersonal and collaboration skills for working effectively with all levels of the organization, suppliers, and/or external customers.

Nice To Haves

• Experience in manufacturing, industrial, or supply chain environments.
• Advanced degree and/or Azure, architecture, or AI certifications.

Responsibilities

• Own and evolve the enterprise AI architecture vision and multi-year roadmap, including direction for platforms, tools, frameworks, integration patterns, and reusable standards.
• Translate complex and ambiguous business priorities into scalable AI architectures that support enterprise technology and data strategy and meet security, privacy, regulatory, and compliance requirements.
• Architect and direct end-to-end AI ecosystems spanning data pipelines, model development, deployment, observability, evaluation, lifecycle management, and enterprise integrations.
• Establish enterprise architectural principles, governance frameworks, and decision criteria for generative AI, machine learning, LLMs, RAG, intelligent agents, APIs, and model integration.
• Build alignment among engineering, data science, product, cybersecurity, legal, compliance, and business stakeholders on responsible, resilient, value-driven AI solutions.
• Set technical direction and guide teams through implementation, validation, governance, operational readiness, and cost optimization for production AI systems.
• Assess emerging AI capabilities, vendors, and frameworks and define adoption strategies that balance innovation, risk, scalability, interoperability, and long-term sustainability.
• Provide expert consultation, design review, escalation support, and mentorship to senior engineers, architects, data scientists, and technical leaders.
• Own the enterprise AI reference architecture and Azure platform blueprint covering agents, RAG, model services, the LLM gateway, identity, observability, and cost controls.
• Define Dev/Test/Prod, CI/CD, and infrastructure-as-code patterns for AI solutions and guide the AI Platform Lead in implementing them.
• Build hands-on reference implementations, templates, and reusable components to demonstrate patterns and accelerate delivery by AI engineers and data scientists.
• Serve as design authority for internal and third-party AI solutions, lead architecture reviews, and make build/buy/reuse recommendations.
• Set standards for model selection, evaluation, LLMOps/MLOps, security guardrails, and production readiness.
• Own AI platform architecture and standards in partnership with IT on cloud, network, and identity foundations.
• Design how priority AI use cases across supply chain, commercial, quality, and engineering connect to core enterprise systems and scale from pilot to production.

Benefits

• Competitive medical, dental, vision, life, and disability insurance plans.
• Education reimbursement.
• Wellness programs.
• 401(k) retirement plan with Company matching.
• Paid time off, including vacation or flex-time, sick, bereavement, and parental leave.
• Certain positions are eligible for short-term incentive and long-term incentive programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior