Principal Artificial Intelligence Solutions Architect

About the role

Sensata is seeking a Principal Artificial Intelligence (AI) Solutions Architect in Pune, India, to define, build, and govern the enterprise AI technical foundation under the Head of AI. The role combines enterprise architecture judgment with hands-on implementation, actively designing, prototyping, and guiding production AI systems across engineering, procurement, supply chain, operations, legal, quality, and commercial teams. You will establish the AI reference architecture to ensure scalable, reusable, and integrated solutions while validating designs through real implementations and preventing fragmented, vendor-driven approaches.

What you’ll do

• Define and maintain the AI architecture roadmap, including platforms, tools, frameworks, integration patterns, and reusable design standards
• Translate complex business needs into scalable AI solution architectures aligned with enterprise technology, data, security, privacy, and compliance requirements
• Design end-to-end AI systems including data pipelines, model development workflows, deployment, monitoring, evaluation, and lifecycle management
• Establish architectural guardrails for generative AI, machine learning, LLMs, RAG, intelligent agents, APIs, and model integration patterns
• Partner with engineering, data science, product, security, legal, compliance, and business stakeholders to ensure AI solutions are reliable, responsible, and fit for purpose
• Guide teams in implementing, testing, governance, and cost optimization practices for production AI systems
• Evaluate emerging AI technologies, vendors, and frameworks and recommend adoption strategies balancing innovation, risk, scalability, and long-term maintainability
• Provide technical leadership, mentorship, and architectural review for teams building AI-enabled products, platforms, and internal capabilities

What you’ll bring

• Bachelor's degree or equivalent relevant work experience
• 8+ years delivering production AI/ML solutions with hands-on engineering experience
• Expertise in LLMs, RAG, vector databases, and agent-based systems
• Experience with AI frameworks/tools such as LangChain, LlamaIndex, Semantic Kernel, OpenAI/Azure OpenAI
• Strong background in enterprise AI integration and data ecosystems
• Proven ability to lead vendor evaluation and build vs. buy decisions
• Demonstrated professional proficiency in English, both verbal and written
• Strong communication, organization, planning, and time management skills

Nice to have

Experience with Microsoft/Azure AI stack (Azure OpenAI, AI Search, Fabric, Power Platform)

Skills

Education

A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.