AI/GenAI/Agentic AI Platforms architect

Tata Consultancy Services; Hyderabad, Delhi, Mumbai; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Tata Consultancy Services in Hyderabad seeks an AI Platforms Architect specializing in GenAI and agentic AI. You will design enterprise-wide AI platform blueprints, define standards, and enable reusable patterns across data sources, apps, and cloud services.

The role emphasizes integrating AIOS and cloud AI platforms, guiding LLM serving, prompt orchestration, grounding, and secure connectors, while upholding governance and responsible AI requirements.

Qualifications

• Experience with enterprise AI platforms such as Azure AI Foundry, Gemini Enterprise, Microsoft 365 Copilot, Copilot Studio.
• Strong understanding of enterprise AI platform blueprinting and reference architecture.
• Ability to design integration patterns across AIOS, cloud AI platforms, data sources and business applications.
• Knowledge of LLM serving, prompt orchestration, grounding, secure connectors, scalability, resilience, reliability and performance design.
• Understanding of responsible AI, security, compliance, data privacy, access control and enterprise governance requirements.

Responsibilities

• Partner with platform engineers, security teams, data teams and business stakeholders to translate architecture into operable platform capabilities.

Skills

AI platform architecture

LLM deployment

Security & governance

Tools

Azure AI Foundry

Gemini Enterprise

Copilot Studio

Job description

I am currently working with TCS and seeking for an AI/GenAI/Agentic AI Platforms architect

We believe that your skills and expertise are a better match for the skills we are looking for.

Job Description

• Strong understanding of enterprise AI platform blueprinting, reference architecture, platform standards and reusable architecture patterns.
• Experience with enterprise AI platforms such as Azure AI Foundry, Gemini Enterprise, Microsoft 365 Copilot, Copilot Studio
• Ability to design integration patterns across AIOS, cloud AI platforms, knowledge systems, enterprise data sources and business applications.
• Knowledge of LLM serving, prompt orchestration, grounding, secure connectors, scalability, resilience, reliability and performance design.
• Understanding of responsible AI, security, compliance, data privacy, access control and enterprise governance requirements.

Ability to partner with platform engineers, security teams, data teams and business stakeholders to translate architecture into operable platform capabilities