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For Employers

Ai Architect

Tata Consultancy Services

8 - 13 years

17 - 20 Lacs

bengaluru

Posted:2 weeks ago| Platform:

Apply

Skills Required

ai python data pipelines gcp machine learning aws artificial intelligence it infrastructure docker kubernetes azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities

Strategy & Roadmap

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

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

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.

Deployment & Integration

Lead deployment of AI models using Docker, Kubernetes, and MLOps best practices.
Integrate AI solutions with enterprise platforms and cloud-native services (Azure, AWS, GCP).
Ensure performance, scalability, and security of deployed AI systems.

Leadership & Collaboration

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.

Must-Have Skills

Generative AI (Gen AI), Agentic AI
AI Strategy, Architecture, and Roadmap Planning
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
Distillation, RAG, Fine-tuning
Multi-modal AI, LLMs
Vector Databases, Embeddings
GenAI deployment tools (Docker, Kubernetes)
AI Solution Assessment and Optimization

Qualifications

Bachelor of Engineering

Application Deadline

31-Dec-2025

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