AI Architect with AWS

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

Job summary

Tata Consultancy Services seeks an AI Architect to design and deliver enterprise-scale Generative AI and ML solutions on AWS. Lead technical teams, engage with business stakeholders, and define end-to-end architectures across data ingestion, vector search, and model serving.

Ideal candidates will have hands-on experience with Amazon Bedrock, AWS SageMaker, and a cloud-native, microservices approach, focusing on security, governance, and Responsible AI implementations.

Qualifications

• Experience with GenAI, LLMs, and prompt engineering.
• Knowledge of RAG architectures and AI agents.
• Hands-on with Amazon Bedrock and AWS SageMaker.
• Proficiency in AWS services (Lambda, S3, API Gateway, IAM, CloudWatch).
• Experience with cloud-native, microservices architectures and data orchestration.

Responsibilities

• Architect and deliver scalable AI/GenAI solutions on AWS.
• Design enterprise copilots, virtual assistants, and AI agents.
• Define end-to-end architectures for data ingestion, vector search, and model serving.
• Evaluate Foundation Models using Bedrock and SageMaker.
• Establish AI architecture standards and reusable frameworks.
• Lead architecture reviews and governance across teams.
• Drive AI modernization and provide technical leadership.
• Define AI security, compliance, and Responsible AI frameworks.
• Collaborate with stakeholders to identify AI use cases.

Skills

Generative AI

LLMs

Prompt Engineering

RAG

AI Agents

Amazon Bedrock

AWS SageMaker

AWS Lambda

REST APIs

Python

SQL

Stakeholder Management

Tools

OpenSearch

Vector Databases

Terraform

Databricks

Graph Databases

Job description

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
• Cloud-Native and Microservices Architecture
• Python, SQL, REST APIs
• 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
• FinOps for AI Workloads

Preferred Certifications

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

Ideal Candidate Should Have Experience In

• AI copilots and intelligent assistants
• AI governance, security, and compliance
• Large-scale cloud transformation and modernization programs