AI Architect with AWS - A

Tata Consultancy Services; Ernakulam, Kolkata District, Chennai; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Tata Consultancy Services Limited is seeking an experienced AI Architect to design and deliver enterprise-scale Generative AI and ML solutions on AWS across multiple locations in India. The role requires strong expertise in Bedrock, AWS AI/ML services, LLMs, and RAG architectures, with leadership across technical teams and stakeholders.

The ideal candidate will architect secure, scalable cloud-native solutions, drive AI modernization, and establish governance and compliance frameworks while

Qualifications

• Experience in designing enterprise GenAI and ML solutions on AWS.
• Strong knowledge of Bedrock, LLMs, RAG architectures and Agentic AI.
• Ability to lead technical teams and engage with stakeholders.
• Proven track record in cloud-native architecture and microservices.

Responsibilities

• Architect scalable, secure, cost-efficient AI/GenAI solutions on AWS.
• Design enterprise copilots, virtual assistants, AI agents, and RAG apps.
• Define end-to-end AI architectures: data ingestion, vector search, model serving, orchestration, monitoring, governance.
• Evaluate Foundation Models using Bedrock and SageMaker.
• Establish AI architecture standards and reusable frameworks.

Skills

Generative AI

LLMs

Prompt Engineering

RAG

AI Agents

AWS Bedrock

AWS SageMaker

Python

REST APIs

Docker

Kubernetes

CI/CD

MLOps

Leadership

Enterprise Architecture

Tools

Amazon Bedrock

AWS Lambda

S3

API Gateway

IAM

CloudWatch

ECS/EKS

Step Functions

Terraform

Job description

AI Architect - AWS

Experience: 10-15 Years

Location: Chennai / Kochi / Kolkata / Coimbatore

We are looking for an experienced AI Architect to design and deliver enterprise-scale Generative AI and Machine Learning solutions on AWS. The ideal candidate will have strong expertise in Amazon Bedrock, AWS AI/ML services, LLMs, RAG architectures, Agentic AI, cloud-native design, and enterprise solution architecture, along with the ability to lead technical teams and engage with business stakeholders.

Key Responsibilities

• Architect and deliver scalable, secure, and cost-efficient AI/GenAI solutions on AWS.
• Design enterprise copilots, virtual assistants, AI agents, and RAG-based applications.
• Define end-to-end architectures covering data ingestion, vector search, model serving, orchestration, monitoring, and governance.
• Evaluate and implement Foundation Models using Amazon Bedrock and AWS SageMaker.
• Establish AI architecture standards, reusable frameworks, and best practices.
• Lead architecture reviews, technical design discussions, and solution governance.
• Drive AI modernization initiatives and provide technical leadership across teams.
• Define AI security, compliance, Responsible AI, and operational frameworks.
• Collaborate with business and technology stakeholders to identify and implement AI use cases.

Mandatory Skills

• Generative AI, LLMs, Prompt Engineering
• RAG (Retrieval-Augmented Generation)
• AI Agents / Agentic AI
• Amazon Bedrock
• AWS SageMaker
• AWS Lambda, S3, API Gateway, IAM, CloudWatch
• ECS/EKS, Step Functions
• Enterprise & Solution Architecture
• Cloud-Native and Microservices Architecture
• Python, SQL, REST APIs
• LangChain, LlamaIndex, Hugging Face
• Docker, Kubernetes, CI/CD, MLOps
• Stakeholder Management and Technical Leadership

Preferred Skills

• OpenSearch and Vector Databases (Pinecone, FAISS, Weaviate)
• AWS Glue, EMR, Databricks
• Terraform / Infrastructure as Code
• Knowledge Graphs and Graph Databases
• Responsible AI and AI Governance

Preferred Certifications

• AWS Certified Solutions Architect Professional
• AWS Certified Machine Learning Engineer
• AWS Certified AI Practitioner
• TOGAF (Preferred)

Ideal Candidate Should Have Experience In

• Enterprise GenAI platform architecture
• Production-grade RAG implementations
• Multi-model AI ecosystems using Amazon Bedrock
• AI copilots and intelligent assistants
• AI governance, security, and compliance
• Large-scale cloud transformation and modernization programs