Job Description
Role Overview
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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 Job Title: GenAI Architect
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Role Overview
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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.
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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.
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Key Responsibilities
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AI Architecture Leadership
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- Define and own enterprise-wide GenAI architecture principles, standards, and reference patterns.
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- Design scalable, modular, and secure architectures for AI solutions across cloud and hybrid environments.
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- Establish reusable AI frameworks, components, and accelerators to speed up solution development.
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- Guide technical design decisions across Thermax AI Studio initiatives.
/n
- Develop and maintain reference implementations (e.g., RAG patterns, agent frameworks, evaluation harnesses) to accelerate adoption.
/n
- Review code and architecture for critical AI components and contribute directly to production code when needed.
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Innovation & Emerging Technology Exploration
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Continuously evaluate emerging technologies, including:
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- Generative AI / Foundation Models
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- Agentic AI and autonomous workflows
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- Multimodal AI
/n
- Open-source AI ecosystems
/n
- Industrial AI applications
/n
- Build rapid proofs of concept (POCs) and prototypes to validate new technologies.
/n
- Recommend build vs. buy vs. partner decisions for strategic AI capabilities.
/n
- Identify opportunities where AI can create competitive advantage for Thermax.
/n
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AI Platform & Technical Governance
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- Define standards for LLMOps, model lifecycle management, observability, and evaluation.
/n
- Establish responsible AI guardrails, security practices, and governance frameworks.
/n
- Conduct architecture reviews and ensure technical quality across solutions.
/n
- Drive platform decisions to ensure scalability, interoperability, and maintainability.
/n
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Technical Enablement & Solution Oversight
/n
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- Partner with product, engineering, and delivery teams to translate business needs into scalable AI solution blueprints.
/n
- Provide architecture oversight and technical mentorship during solution implementation.
/n
- Support critical technical problem-solving and unblock engineering teams when needed.
/n
- Ensure solutions are production-ready and aligned with enterprise standards.
/n
/n
Capability Building & Thought Leadership
/n
/n
- Mentor engineers and data scientists on GenAI best practices.
/n
- Build internal AI capability through reusable assets, standards, and knowledge sharing.
/n
- Conduct trainings and knowledge-sharing sessions to build an internal community of AI champions.
/n
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Skills & Qualifications
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- 10+ years of total experience, including 3+ years designing and deploying Generative AI / LLM-based solutions.
/n
- Core technical skills:
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- LLMs: GPT, Claude, Gemini, Llama, Mistral
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- RAG & vector stores: Pinecone, Weaviate, ChromaDB, Azure AI Search
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- Orchestration: Lang Chain, Llama Index, Semantic Kernel, Auto Gen
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- Cloud platforms: Azure OpenAI, AWS Bedrock, Google Vertex AI
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- Programming: Python (required); experience with Type Script/Java/Go is a plus
/n
- Application engineering: building AI services/APIs (REST/gRPC), prompt/tooling interfaces, and integrations with enterprise systems
/n
- Quality & reliability: automated evaluation, testing, observability, and cost/performance optimization for LLM-powered systems
/n
- Proven experience designing scalable AI solutions, reusable frameworks, and cloud-native platforms.
/n
- Strong stakeholder communication skills and ability to influence technical direction across teams.
/n
- Experience in industrial, manufacturing, or IoT domains is a strong plus. architecture expertise with technology strategy to build scalable enterprise AI capabilities, evaluate emerging technologies, and shape Thermax's long-term AI roadmap.
/n
/n
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.
/n
Key Responsibilities
/n
AI Architecture Leadership
/n
/n
- Define and own enterprise-wide GenAI architecture principles, standards, and reference patterns.
/n
- Design scalable, modular, and secure architectures for AI solutions across cloud and hybrid environments.
/n
- Establish reusable AI frameworks, components, and accelerators to speed up solution development.
/n
- Guide technical design decisions across Thermax AI Studio initiatives.
/n
- Develop and maintain reference implementations (e.g., RAG patterns,
agent frameworks, evaluation harnesses) to accelerate adoption.
/n
- Review code and architecture for critical AI components and contribute directly to production code when needed.
/n
/n
Innovation & Emerging Technology Exploration
/n
Continuously evaluate emerging technologies, including:
/n
/n
- Generative AI / Foundation Models
/n
- Agentic AI and autonomous workflows
/n
- Multimodal AI
/n
- Open-source AI ecosystems
/n
- Industrial AI applications
/n
- Build rapid proofs of concept (POCs) and prototypes to validate new technologies.
/n
- Recommend build vs. buy vs. partner decisions for strategic AI capabilities.
/n
- Identify opportunities where AI can create competitive advantage for Thermax.
/n
/n
AI Platform & Technical Governance
/n
/n
- Define standards for LLMOps, model lifecycle management, observability, and evaluation.
/n
- Establish responsible AI guardrails, security practices, and governance frameworks.
/n
- Conduct architecture reviews and ensure technical quality across solutions.
/n
- Drive platform decisions to ensure scalability, interoperability, and maintainability.
/n
/n
Technical Enablement & Solution Oversight
/n
/n
- Partner with product, engineering, and delivery teams to translate business needs into scalable AI solution blueprints.
/n
- Provide architecture oversight and technical mentorship during solution implementation.
/n
- Support critical technical problem-solving and unblock engineering teams when needed.
/n
- Ensure solutions are production-ready and aligned with enterprise standards.
/n
/n
Capability Building & Thought Leadership
/n
/n
- Mentor engineers and data scientists on GenAI best practices.
/n
- Build internal AI capability through reusable assets, standards, and knowledge sharing.
/n
- Conduct trainings and knowledge-sharing sessions to build an internal community of AI champions.
/n
/n
Skills & Qualifications
/n
/n
- 10+ years of total experience, including 3+ years designing and deploying Generative AI / LLM-based solutions.
/n
- Core technical skills:
/n
- LLMs: GPT, Claude, Gemini, Llama, Mistral
/n
- RAG & vector stores: Pinecone, Weaviate, ChromaDB, Azure AI Search
/n
- Orchestration: Lang Chain, Llama Index, Semantic Kernel, Auto Gen
/n
- Cloud platforms: Azure OpenAI, AWS Bedrock, Google Vertex AI
/n
- Programming: Python (required); experience with Type Script/Java/Go is a plus
/n
- Application engineering: building AI services/APIs (REST/gRPC), prompt/tooling interfaces, and integrations with enterprise systems
/n
- Quality & reliability: automated evaluation, testing, observability, and cost/performance optimization for LLM-powered systems
/n
- Proven experience designing scalable AI solutions, reusable frameworks, and cloud-native platforms.
/n
- Robust stakeholder communication skills and ability to influence technical direction across teams.
/n
- Experience in industrial, manufacturing, or IoT domains is a strong plus.
/n
📌 GenAI Architect (Pune)
🏢 Thermax
📍 Pune