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 Models - Agentic AI and autonomous workflows - Multimodal AI - Open-source AI ecosystems - Industrial AI applications - Build 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, Mistral - RAG & vector stores: Pinecone, Weaviate, ChromaDB, Azure AI Search - Orchestration: LangChain, LlamaIndex, Semantic Kernel, AutoGen - Cloud platforms: Azure OpenAI, AWS Bedrock, Google Vertex AI - Programming: Python (required); experience with TypeScript/Java/Go is a plus - Application engineering: building AI services/APIs (REST/gRPC), prompt/tooling interfaces, and integrations with enterprise systems - Quality & reliability: automated evaluation, testing, observability, and cost/performance optimization for LLM-powered systems - Proven 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 Continuously evaluate emerging technologies, including: - Generative AI / Foundation Models - Agentic AI and autonomous workflows - Multimodal AI - Open-source AI ecosystems - Industrial AI applications - Build 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, Mistral - RAG & vector stores: Pinecone, Weaviate, ChromaDB, Azure AI Search - Orchestration: LangChain, LlamaIndex, Semantic Kernel, AutoGen - Cloud platforms: Azure OpenAI, AWS Bedrock, Google Vertex AI - Programming: Python (required); experience with TypeScript/Java/Go is a plus - Application engineering: building AI services/APIs (REST/gRPC), prompt/tooling interfaces, and integrations with enterprise systems - Quality & reliability: automated evaluation, testing, observability, and cost/performance optimization for LLM-powered systems - Proven 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