AI/GenAI/Agentic AI Platforms architect

Tata Consultancy Services; Pune District; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Tata Consultancy Services is seeking an senior Enterprise AI Platform Architect in Pune, India, to define and govern the enterprise AI platform blueprint and reference architectures. You will own the tooling roadmap across Azure AI Foundry, Gemini Enterprise, Copilot Studio, and Microsoft 365 Copilot, ensuring scalable, secure, and compliant platform capabilities.

You will collaborate with platform engineers, security, data teams, and business stakeholders to translate architecture into operable

Qualifications

• Requires 7–9 years of relevant experience in AI platform architecture, cloud architecture, integration architecture or enterprise technology platforms.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Artificial Intelligence or related field.
• Strong understanding of enterprise AI platform blueprinting, reference architecture, platform standards and reusable architecture patterns.

Responsibilities

• Define the enterprise AI platform blueprint, target architecture, platform standards and reusable reference patterns for AI platform adoption.
• Own and evolve the AI platform and tooling roadmap across Azure AI Foundry, Gemini Enterprise, Microsoft 365 Copilot and other approved enterprise platforms.
• Design and govern integration patterns across AIOS, cloud AI platforms, enterprise data sources, knowledge systems and business applications.
• Set architecture standards for model serving, scalability, resilience, security, reliability and cost optimisation.
• Partner with AI Platforms Engineers to translate architecture into deployable, secure and operable infrastructure patterns.
• Align platform architecture with security, responsible AI, compliance, data privacy, access control and enterprise governance requirements.

Skills

AI platform architecture

Enterprise integration

LLM serving

Security & governance

Platform standards

Stakeholder collaboration

Education

Bachelor's or Master's in CS/Engineering/IT/AI

Tools

Azure AI Foundry

Gemini Enterprise

Microsoft 365 Copilot

Copilot Studio

Job description

• 7-9 years of relevant experience in AI platform architecture, cloud architecture, integration architecture or enterprise technology platforms.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, Artificial Intelligence or a related field.
• 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.

Key Responsibilities

• Define the enterprise AI platform blueprint, target architecture, platform standards and reusable reference patterns for AI platform adoption.
• Own and evolve the AI platform and tooling roadmap across Azure AI Foundry, Gemini Enterprise, Microsoft 365 Copilot and other approved enterprise platforms.
• Design and govern integration patterns across AIOS, cloud AI platforms, enterprise data sources, knowledge systems and business applications.
• Set architecture standards for model serving, scalability, resilience, security, reliability and cost optimisation.
• Partner with AI Platforms Engineers to translate architecture into deployable, secure and operable infrastructure patterns.
• Align platform architecture with security, responsible AI, compliance, data privacy, access control and enterprise governance requirements.