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Tata Consultancy Services

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AI Architect with AWS - A

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Summary

Senior AI Architect (10-15 yrs) at Tata Consultancy Services designing and delivering enterprise-scale Generative AI and ML solutions on AWS — Amazon Bedrock, SageMaker, RAG, AI agents and copilots. Leads architecture reviews, sets AI governance/Responsible AI standards, and drives cloud transformation while engaging business stakeholders. Roles based in Chennai, Kochi, Kolkata, or Coimbatore.


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

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