Principal Artificial Intelligence (AI) Solutions Architect

Sensata Technologies; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Sensata Technologies is seeking a Principal AI Solutions Architect to define, build, and govern enterprise AI foundations. You will design, prototype, and guide production AI systems across enterprise functions, balancing strategy with hands-on implementation and governance.

You will establish reference architectures, guardrails for GenAI, and scalable data pipelines, ensuring reuse and long-term maintainability.

Qualifications

• 8+ years delivering production AI/ML solutions with hands-on engineering experience.
• Experience with enterprise AI integration and data ecosystems.
• Proven ability to lead vendor evaluation and build vs. buy decisions.

Responsibilities

• Prototype and deliver hands-on AI solutions, integrating with enterprise systems (ERP, MES, PLM, APIs).
• Build advanced AI capabilities (RAG, LLM workflows/agents, document intelligence, enterprise search).
• Establish AI-specific data architecture standards (semantic models, metadata, taxonomy, lineage, access).
• Implement production-readiness practices (evaluation datasets, hallucination testing, human-in-loop, observability).
• Lead technical vendor validation and build vs. buy analysis through prototyping and benchmarking.

Skills

LLMs

RAG

Vector databases

Agent-based systems

LangChain

OpenAI/Azure OpenAI

Education

Bachelor's degree

Tools

Azure OpenAI

OpenAI API

Job description

We are seeking a highly experienced, hands-on Principal Artificial Intelligence (AI) Solutions Architect to define, build, and govern Sensata's enterprise AI technical foundation. This role is expected to combine enterprise architecture judgment with practical implementation ability; the person must be comfortable moving between strategy, design, prototyping, vendor challenge, and production-readiness review This is not a purely strategic or oversight role. You will be expected to actively design, prototype, and guide implementation of production AI systems in complex enterprise environments. This role will operate under the direction of the Artificial Intelligence Leader (Head of AI) and will support enterprise AI priorities across functions, including but not limited to engineering, procurement, supply chain, operations, legal, quality, and commercial teams You will establish the AI reference architecture that ensures scalable, reusable, and integrated solutions across the business while also staying close to execution, validating designs through real implementations. Ideally you have personally deployed production AI systems, understands modern GenAI architectures (LLMs, RAG, agents), and are comfortable working directly with code, data, and enterprise systems. This role is critical in preventing fragmented, vendor-driven solutions and ensuring AI is built once and scaled effectively across use cases.

General Responsibilities

• 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 that align with enterprise technology, data, security, privacy, and compliance requirements.
• Design end-to-end AI systems, including data pipelines, model development workflows, model deployment, monitoring, evaluation, and lifecycle management.
• Establish architectural guardrails for generative AI, machine learning, large language models, retrieval-augmented generation, 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 that balance innovation, risk, scalability, and long-term maintainability.
• Provide technical leadership, mentorship, and architectural review for teams building AI-enabled products, platforms, and internal capabilities.
• Drive consistency and reuse by creating reference architectures, implementation playbooks, design patterns, and technical documentation.
• Communicate AI architecture strategy, tradeoffs, risks, and opportunities to senior technology and business leaders.

Experience / Qualifications

• A university degree required (i.e. Bachelors degree) or equivalent relevant work experience.
• Must be a team player able to work in a fast-paced environment with demonstrated ability to handle multiple competing tasks and demands.
• Strong communication skills; oral, written and presentation.
• Strong organization, planning and time management skills to achieve results.
• Strong personal and professional ethical values and integrity.
• Holds self-accountable to achieving goals and standards.
• Proficient in Microsoft Office programs (Outlook, Word, PowerPoint, and Excel).
• Strong interpersonal & collaboration skills to work effectively with all levels of the organization including suppliers and/or external customers.

Additional Responsibilities

• Prototype and deliver hands-on AI solutions, integrating with enterprise systems (ERP, MES, PLM, APIs).
• Build advanced AI capabilities (RAG, LLM workflows/agents, document intelligence, enterprise search).
• Establish AI-specific data architecture standards (semantic models, metadata, taxonomy, lineage, access).
• Implement production-readiness practices (evaluation datasets, hallucination testing, human-in-loop, observability).
• Lead technical vendor validation and build vs. buy analysis through prototyping and benchmarking.
• Create reusable accelerators (modular components, decision records, implementation assets).
• Prioritize AI use cases based on business value, scalability, risk, and speed.
• Execute effectively in ambiguous, fast-moving environments with close alignment to delivery.

Additional Qualifications

• 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 (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.
• Preferred: Experience with Microsoft/Azure AI stack (Azure OpenAI, AI Search, Fabric, Power Platform).
• Demonstrated professional proficiency in English language, both verbal and written #LI-NS1.

SmarterTogether Collaborating 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. Employees work across functions, countries and cultures gaining new perspectives through mutual respect and open communication. As OneSensata, we are working together to make things work together. Click here to view Sensata Recruitment Privacy Statement. Click here to view our Sensata Recruitment Privacy Statement for China.

Read our Fraud Advisory Sensing is what we do. In fact, our name Sensata comes from the Latin word sensate for 'those gifted with sense'. Our focus on sensing is also reflected in our logo, which spells Sensata in Braille. Sensata Technologies is a global industrial technology company striving to create a safer, cleaner, more efficient and electrified world. Through its broad portfolio of mission-critical sensors, electrical protection components and sensor-rich solutions, Sensata helps its customers address increasingly complex engineering and operating performance requirements. With more than 18,000 employees and global operations in 13 countries, Sensata serves customers in the automotive, heavy vehicle & off-road, industrial, and aerospace markets. Learn more at Sensata.com and follow Sensata Technologies on LinkedIn, Facebook, Instagram and X.

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