AI Architect (AWS)

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

Job summary

Tata Consultancy Services in Kolkata seeks an experienced AI Architect (AWS) to lead the design and implementation of enterprise-scale AI/ML and Generative AI solutions on AWS. The ideal candidate should translate business requirements into scalable AI capabilities, leveraging AWS Bedrock and SageMaker to build production-ready systems.

The role emphasizes cloud architecture, AI platform modernization, LLMs, RAG, and end-to-end governance, security, and cost optimization, with collaboration

Qualifications

• Expertise in AWS Bedrock and SageMaker to architect scalable AI solutions.
• Strong background in Generative AI, LLMs and RAG.
• Proficiency in Python and ML/DL fundamentals.
• Experience building MLOps pipelines and deployment frameworks.
• Knowledge of cloud security and governance.
• Ability to lead cross-functional teams and mentor engineers.
• Experience with vector databases and API integrations.

Responsibilities

• Design and architect end-to-end AI/ML and Generative AI solutions on AWS.
• Lead AI platform modernization and cloud-native AI initiatives.
• Build and deploy LLM, RAG, Conversational AI, and Agentic AI solutions.
• Define AI architecture standards, governance, security, and best practices.
• Collaborate with data scientists, business teams, and engineering stakeholders.
• Design scalable MLOps pipelines and model deployment frameworks.
• Optimize AI workloads for performance, scalability, and cost.
• Provide technical leadership and mentor development teams.

Skills

AWS Bedrock

AWS SageMaker

Generative AI & LLMs

Retrieval-Augmented Generation

Prompt Engineering

Python

Machine Learning & Deep Learning

Vector Databases

MLOps

AWS Lambda/ECS/EKS

API Integration & Microservices

Cloud Security & Governance

LangChain / LangGraph

AI Agents & Multi-Agent Frameworks

Terraform / CloudFormation

Data Engineering (Spark, Glue, Redshft

AWS Solutions Architect Professional

Job description

Role:AI Architect (AWS)

Experience:

10-15 Years

Location:

Kolkata

Job Summary

We are looking for an experienced AI Architect (AWS) to lead the design and implementation of enterprise-scale AI/ML and Generative AI solutions on AWS. The ideal candidate should have strong expertise in cloud architecture, machine learning, LLMs, and AI platform engineering, with the ability to translate business requirements into scalable AI solutions. Relevant AWS AI services such as Bedrock and SageMaker are commonly used in enterprise AI architectures.

Key Responsibilities

• Design and architect end-to-end AI/ML and Generative AI solutions on AWS.
• Lead AI platform modernization and cloud-native AI initiatives.
• Build and deploy LLM, RAG, Conversational AI, and Agentic AI solutions.
• Define AI architecture standards, governance, security, and best practices.
• Collaborate with data scientists, business teams, and engineering stakeholders.
• Design scalable MLOps pipelines and model deployment frameworks.
• Optimize AI workloads for performance, scalability, and cost.
• Provide technical leadership and mentor development teams.

Mandatory Skills

• AWS Bedrock
• AWS SageMaker
• Generative AI & Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Python
• Machine Learning & Deep Learning
• Vector Databases (OpenSearch/Pinecone/FAISS)
• MLOps
• AWS Lambda, ECS/EKS
• API Integration & Microservices
• Cloud Security & Governance

Preferred Skills

• LangChain / LangGraph
• AI Agents & Multi-Agent Frameworks
• Terraform / CloudFormation
• Data Engineering (Spark, Glue, Redshift)
• AWS Solutions Architect Professional Certification