GenAI Architect

Thermax Limited

Pune District

On-site

INR 4,000,000 - 7,000,000

Full time

14 days+

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Job summary

Thermax Limited in Pune seeks a GenAI Architect to lead the organization’s AI architecture and innovation agenda. This hands-on role combines deep architectural expertise with technology strategy to build scalable enterprise AI capabilities and govern AI platforms across cloud and hybrid environments.

You will define standards, create reusable frameworks, and drive velocity in GenAI initiatives while mentoring teams and delivering production-ready components aligned with Thermax’s enterprise

Qualifications

10+ years total experience, including GenAI design and deployment.
Deep knowledge of enterprise AI architecture and platforms.
Experience with cloud-native AI solutions.
Strong collaboration with product, engineering, and data teams.

Responsibilities

Define and own enterprise GenAI architecture principles and patterns.
Design scalable, modular AI architectures for cloud/hybrid environments.
Establish reusable AI frameworks, components, and accelerators to speed up solution development.
Review code and architecture for critical AI components and contribute directly to production code when needed.
Mentor engineers and data scientists on GenAI best practices.

Skills

GenAI

LLM

Architecture

Cloud-native

Python

LangChain

Security

Governance

Stakeholder comms

Tools

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Job description

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

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:

Agentic AI and autonomous workflows
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:
Orchestration: LangChain, LlamaIndex, Semantic Kernel, AutoGen
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.