Gen AI +AWS Engineer

Tata Consultancy Services Limited; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Tata Consultancy Services Limited in Bengaluru seeks a senior AI/ML Architect to design and deliver scalable GenAI-powered platforms, spanning NLP, OCR, and document intelligence.

You will build end-to-end pipelines, compare RAG architectures, apply cloud-native patterns, and emphasize explainability, accuracy, and cost trade-offs. AWS experience and IaC are valued.

Qualifications

• Experience with GenAI solution design and implementation across NLP and document understanding.
• Proven ability to architect end-to-end AI platforms and scalable pipelines.
• Familiarity with cloud-native patterns and IaC practices is a plus.

Skills

GenAI/L

OCR & document intelligence

NLP concepts

Multi-agent architectures

Explainability

End-to-end AI platforms

Document pipelines

RAG architectures

Event-driven/Serverless

Cost vs accuracy trade-offs

Cloud platforms

AWS

S3 object storage

Lambda

IaC (Terraform)

Cloud-agnostic design

Tools

Terraform

AWS

S3

Lambda

Job description

Role & responsibilities

Core AI & ML Skills

• Hands-on experience building GenAI solutions (LLMs, RAG pipelines, embeddings, semantic search)
• Practical use of OCR and document intelligence techniques across unstructured data (PDFs, images, scanned forms)
• Strong understanding of NLP concepts (entity extraction, classification, keyword detection)
• Experience with agentic / multiagent architectures and workflow-based AI systems
• Ability to adapt or fine-tune models for accuracy, confidence scoring, and explainability

Architecture & System Design

• Proven ability to design end-to-end AI platforms, beyond proof-of-concepts
• Experience with large-scale document pipelines (ingestion processing indexing retrieval)
• Strong knowledge of RAG vs alternative architectures (hybrid search, knowledge graphs, semantic indexing)
• Experience with event-driven and serverless patterns for scalable processing
• Ability to reason about trade-offs (accuracy vs cost, latency vs scale, complexity vs maintainability)

Cloud & Platform Engineering

• Strong experience in at least one major cloud platform (AWS preferred)
• Familiarity with:
• • Object storage (e.g. S3)
  • Serverless compute (e.g. Lambda)
  • Managed AI/ML and OCR services
  • Infrastructure-as-Code mindset (e.g. Terraform or equivalent)
  • Ability to design cloud-agnostic solutions where required.