Principal Artificial Intelligence (AI) Solutions Architect

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

Job summary

Sensata Technologies in Maharashtra seeks a Principal AI Solutions Architect to define, build, and govern the enterprise AI foundation. You will move between strategy and hands-on prototyping, ensuring scalable, production-ready AI across functions.

You will design reference architectures, lead cross-functional teams, and guide vendor evaluation while maintaining governance and cost controls. Deep knowledge of LLMs, RAG, and AI integration is essential.

Qualifications

• 8+ years delivering production AI/ML solutions with hands-on engineering.
• Strong expertise in LLMs, RAG, vector databases and agent-based systems.
• Experience with AI frameworks/tools (LangChain, LlamaIndex, Semantic Kernel, OpenAI/Azure OpenAI).

Responsibilities

• Define and maintain AI architecture roadmap, platforms, tools, and design standards.
• Translate business needs into scalable AI architectures aligned with security and compliance.
• Design end-to-end AI systems, including data pipelines and deployment lifecycle.
• Set guardrails for generative AI, LLMs, retrieval, and integration patterns.
• Collaborate with engineering, data science, product, security and legal.
• Guide teams on implementation, testing, governance, and cost optimization.
• Evaluate new AI technologies and vendor options for balanced adoption.
• Provide technical leadership and architectural reviews.
• Promote consistency through reference architectures and playbooks.
• Communicate strategy, risks and opportunities to senior leaders.

Skills

AI architecture

Enterprise AI

GenAI/LLMs

RAG workflows

Vendor evaluation

Education

Bachelor’s degree

Tools

LangChain

LlamaIndex

Semantic Kernel

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

Smarter Together

• 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

NOTE: 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. Type "FIND JOBS" in the Workday search bar.