## Job highlights
- 10-15 years in enterprise AI architecture with expertise in Azure AI, Generative AI, and local LLM deployment
- Lead AI solution design, governance, and implementation; support ISO/IEC 42001 AI management; collaborate with stakeholders and partners We are seeking an experienced Senior AI Solution Architect to lead the architecture, solution design, technical governance, and implementation oversight of enterprise Artificial Intelligence initiatives across the firm. The role will focus on developing secure, scalable, cost-effective, and business-aligned AI solutions using Azure AI Foundry, Microsoft Copilot, Agentic AI, Generative AI, and enterprise-hosted Large Language Models (LLMs). The architect will work closely with business stakeholders, internal engineering teams, information security, AI governance teams, and external technology partners to ensure that AI solutions meet enterprise architecture standards, business requirements, and regulatory and governance expectations. A key responsibility will be supporting the firm's ISO/IEC 42001 AI Management System implementation, ensuring that AI solutions are appropriately assessed, documented, reviewed, and governed throughout their lifecycle. The role will also drive the firm's strategic initiative to establish and scale locally hosted LLM capabilities using dedicated GPU infrastructure, strengthening data control, reducing dependence on external model providers,



and optimizing long-term AI operating costs. Essential

Qualifications:

- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
- Approximately 10-15 years of relevant technology experience, including substantial exposure to enterprise architecture, cloud platforms, and solution design.
- Demonstrable experience designing Generative AI, AI-powered automation, or enterprise AI solutions.
- Strong experience with Microsoft Azure and enterprise system integration.
- Experience working with cross-functional business teams, technology stakeholders, and external implementation partners.
- Proven ability to assess solution architecture, identify technical risks, and provide actionable design recommendations.
- Strong stakeholder management, technical documentation, and communication skills. Preferred Qualifications
- Microsoft certifications such as Azure Solutions Architect Expert or Azure AI Engineer Associate, or equivalent credentials.
- Experience implementing enterprise AI governance frameworks or supporting ISO/IEC 42001 initiatives.
- Exposure to deploying local or open-weight LLMs on dedicated GPU infrastructure.
- Experience in skilled services, consulting, or large enterprise environments.
- Familiarity with AI platform engineering, LLMOps/MLOps, DevSecOps, and enterprise AI cost optimization.

📌 Enterprise Applications (Noida)
🏢 Grant Thornton
📍 Noida