AI Architect

Tata Consultancy Services; Bengaluru Urban; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services in Bengaluru seeks an AI Architect to lead strategic design and implementation of enterprise-scale AI solutions. You will shape roadmaps, assess systems, and guide cross-functional teams to build scalable, secure, and ethical AI platforms.

With 8–15 years in AI/ML, you will drive governance under Responsible AI principles, work across Gen AI and agentic AI, and ensure alignment with business goals while leveraging cloud-native capabilities.

Qualifications

• 8–15 years of AI/ML experience
• Expert in Generative AI and Responsible AI
• Experience designing enterprise-scale AI architectures
• Familiar with LangChain, LangGraph, MCP
• Experience with RAG pipelines, Vector DBs, embeddings

Responsibilities

• Define AI strategy and roadmap aligned with business goals.
• Architect end-to-end AI solutions using Gen AI, Agentic AI, LLMs, and multi-modal AI.
• Design intelligent agent systems with LangChain, LangGraph, MCP, and agent-to-agent protocols.
• Establish scalable AI architectures supporting RAG pipelines, Vector DBs, and embeddings.
• Define AI governance including Responsible AI, GuardRails, and related regulations.
• Lead deployment of AI models with Docker, Kubernetes, and MLOps practices.
• Collaborate with product owners, data scientists, engineers, and stakeholders.

Skills

Generative AI

Agentic AI

AI architecture

LangChain

LangGraph

MCP

Agent to Agent Protocols

RAG pipelines

Vector DBs

Embeddings

Python Programming

AI governance

Responsible AI

AI ethics

GuardRails

MLOps

Tools

LangChain

LangGraph

Docker

Kubernetes

Job description

Role Overview: We are seeking a visionary AI Architect with 8–15 years of experience to lead the strategic design and implementation of enterprise-scale AI solutions. This role requires deep expertise in Generative AI, Agentic AI, and Responsible AI, along with a strong foundation in AI architecture, solution assessment, and cloud-native AI platforms. The AI Architect will define the roadmap, assess existing systems, and guide cross-functional teams in building scalable, secure, and ethical AI systems.

Key Responsibilities:

Strategy & Roadmap (Optional)

• Define and drive the AI strategy, aligning with business goals and innovation priorities.
• Develop and maintain the AI solution roadmap, including short-term deliverables and long-term vision.
• Evaluate emerging AI trends and technologies to inform strategic direction.

Architecture & Design (Mandatory)

• Architect end-to-end AI solutions using Gen AI, Agentic AI, LLMs, and multi-modal AI.
• Design intelligent agent systems using LangChain, LangGraph, Model Context Protocol (MCP), and Agent to Agent Protocols.
• Establish scalable and modular AI architectures that support RAG pipelines, Vector DBs, and Embeddings.
• Define and enforce AI governance frameworks, including Responsible AI, GuardRails, and compliance with AI Ethics & Regulations.

Assessment & Optimization (Good to have)

• Conduct technical assessments of existing AI/ML systems, models, and data pipelines.
• Identify gaps, risks, and opportunities for modernization or enhancement.
• Recommend architectural improvements and integration strategies for legacy systems.
• Lead deployment of AI models using Docker, Kubernetes, and MLOps best practices.
• Integrate AI solutions with enterprise platforms and ANY ONE cloud-native services (Azure, AWS, GCP).
• Ensure performance, scalability, and security of deployed AI systems.

Leadership & Collaboration (Good to have)

• Collaborate with product owners, data scientists, engineers, and business stakeholders.
• Mentor engineering teams and contribute to talent development in AI and ML domains.
• Represent AI architecture in enterprise governance forums and technical councils.

Technical Skills:

• Generative AI (Gen AI), Agentic AI
• Python Programming
• AI Frameworks (LangChain, AutoGen, CrewAI and LangGraph)
• Model Context Protocol (MCP), Agent to Agent Protocol
• GuardRails, AI Ethics and Regulations
• Prompt Engineering, Responsible AI
• Vector Databases, Embeddings