About This Job

Thermax Limited

Location: Pune District, Maharashtra, India

Work Mode: On-site

Industry: IT Services and IT Consulting,Industrial Machinery Manufacturing,Manufacturing

Role Overview

We are seeking a GenAI Architect to join the Thermax AI team and lead the organization’s next-generation AI architecture and innovation agenda. This role combines deepJob Title: GenAI Architect

Role Overview

We are seeking a GenAI Architect to join the Thermax AI team and lead the organization’s next-generation AI architecture and innovation agenda. This role combines deep architecture expertise with technology strategy to build scalable enterprise AI capabilities, evaluate emerging technologies, and shape Thermax’s long-term AI roadmap.

The focus is on defining future-ready AI architecture, building reusable platforms and accelerators, and enabling teams to deliver high-impact AI solutions. This is a hands-on role: you will not only define standards and patterns, but also build reference implementations, prototypes, and production-ready components alongside engineering teams. You will drive technical excellence, scalability, security, and innovation velocity across GenAI and agentic AI initiatives.

Key Responsibilities

AI Architecture Leadership

Define and own enterprise-wide GenAI architecture principles, standards, and reference patterns.Design scalable, modular, and secure architectures for AI solutions across cloud and hybrid environments.Establish reusable AI frameworks, components, and accelerators to speed up solution development.Guide technical design decisions across Thermax AI Studio initiatives.Develop and maintain reference implementations (e.g., RAG patterns, agent frameworks, evaluation harnesses) to accelerate adoption.Review code and architecture for critical AI components and contribute directly to production code when needed.

Innovation & Emerging Technology Exploration

Continuously Evaluate Emerging Technologies, Including:

Generative AI / Foundation ModelsAgentic AI and autonomous workflowsMultimodal AIOpen-source AI ecosystemsIndustrial AI applicationsBuild rapid proofs of concept (POCs) and prototypes to validate new technologies.Recommend build vs. buy vs. partner decisions for strategic AI capabilities.Identify opportunities where AI can create competitive advantage for Thermax.

AI Platform & Technical Governance

Define standards for LLMOps,



model lifecycle management, observability, and evaluation.Establish responsible AI guardrails, security practices, and governance frameworks.Conduct architecture reviews and ensure technical quality across solutions.Drive platform decisions to ensure scalability, interoperability, and maintainability.

Technical Enablement & Solution Oversight

Partner with product, engineering, and delivery teams to translate business needs into scalable AI solution blueprints.Provide architecture oversight and technical mentorship during solution implementation.Support critical technical problem-solving and unblock engineering teams when needed.Ensure solutions are production-ready and aligned with enterprise standards.

Capability Building & Thought Leadership

Mentor engineers and data scientists on GenAI best practices.Build internal AI capability through reusable assets, standards, and knowledge sharing.Conduct trainings and knowledge-sharing sessions to build an internal community of AI champions.

Skills & Qualifications

10+ years of total experience, including 3+ years designing and deploying Generative AI / LLM-based solutions.Core technical skills:LLMs: GPT, Claude, Gemini, Llama, MistralRAG & vector stores: Pinecone, Weaviate, ChromaDB, Azure AI SearchOrchestration: LangChain, LlamaIndex, Semantic Kernel, AutoGenCloud platforms: Azure OpenAI, AWS Bedrock, Google Vertex AIProgramming: Python (required);

experience with TypeScript/Java/Go is a plusApplication engineering: building AI services/APIs (REST/gRPC), prompt/tooling interfaces, and integrations with enterprise systemsQuality & reliability: automated evaluation, testing, observability, and cost/performance optimization for LLM-powered systemsProven experience designing scalable AI solutions, reusable frameworks, and cloud-native platforms.Strong stakeholder communication skills and ability to influence technical direction across teams.Experience in industrial, manufacturing, or IoT domains is a robust plus.



architecture expertise with technology strategy to build scalable enterprise AI capabilities, evaluate emerging technologies, and shape Thermax’s long-term AI roadmap.

The focus is on defining future-ready AI architecture, building reusable platforms and accelerators, and enabling teams to deliver high-impact AI solutions. This is a hands-on role: you will not only define standards and patterns, but also build reference implementations, prototypes, and production-ready components alongside engineering teams. You will drive technical excellence, scalability, security, and innovation velocity across GenAI and agentic AI initiatives.

Key Responsibilities

AI Architecture Leadership

Define and own enterprise-wide GenAI architecture principles, standards, and reference patterns.Design scalable, modular, and secure architectures for AI solutions across cloud and hybrid environments.Establish reusable AI frameworks, components, and accelerators to speed up solution development.Guide technical design decisions across Thermax AI Studio initiatives.Develop and maintain reference implementations (e.g., RAG patterns, agent frameworks, evaluation harnesses) to accelerate adoption.Review code and architecture for critical AI components and contribute directly to production code when needed.

Innovation & Emerging Technology Exploration

Skills & Qualifications

10+ years of total experience, including 3+ years designing and deploying Generative AI / LLM-based solutions.Core technical skills:LLMs: GPT, Claude, Gemini, Llama, MistralRAG & vector stores: Pinecone, Weaviate, ChromaDB, Azure AI SearchOrchestration: LangChain, LlamaIndex, Semantic Kernel, AutoGenCloud platforms: Azure OpenAI, AWS Bedrock, Google Vertex AIProgramming: Python (required);

experience with TypeScript/Java/Go is a plusApplication engineering: building AI services/APIs (REST/gRPC), prompt/tooling interfaces, and integrations with enterprise systemsQuality & reliability: automated evaluation, testing, observability, and cost/performance optimization for LLM-powered systemsProven experience designing scalable AI solutions, reusable frameworks, and cloud-native platforms.Strong stakeholder communication skills and ability to influence technical direction across teams.Experience in industrial, manufacturing, or IoT domains is a strong plus.

📌 GenAI Architect (Pune)
🏢 Thermax
📍 Pune