GenAI Lead/Senior Lead

Dear Candidate,

We are pleased to inform you that your profile has been shortlisted for one of our reputed client.

Experience : Minimum 5 years

Location : Bengaluru, Hyderabad, Chennai,Pune,Noida

Please find below details -

Define and own endtoend architecture for Generative AI applications deployed natively on AWS

Lead technology decisions around:

AWS Bedrock models and agent design

Orchestration using AWS Strands SDK

Integration patterns (sync, async, eventdriven)

Design secure, scalable AWS architectures using:

AWS Lambda, ECS, EKS, EC2

S3, DynamoDB, Aurora, OpenSearch

API Gateway / ALB

Establish standards for:

Prompt engineering

Agent workflows

Model lifecycle management

Lead handson development of:

GenAI services, agents, and APIs using Python

Bedrock Agent Core SDKbased applications

Prompt optimization and guardrails

Review designs and code to ensure performance, scalability, and maintainability

Drive adoption of RAG, embeddings, and vector storage patterns where appropriate

Define guardrails for:

Data privacy

Prompt injection risks

Model misuse and hallucinations

Aligning AI implementations with enterprise governance and compliance frameworks

Required Skills & Qualifications:

Core Technical Skills (Must Have)

Expertlevel Python development

Strong handson experience with:

AWS Bedrock

AWS Bedrock Agent Core SDK

AWS Strands SDK

Deep expertise in AWS cloudnative architecture

Strong observability and production operations experience

Experience with:

RAG architectures

Vector databases (OpenSearch, Pinecone, FAISS, etc.)

MLOps / Model lifecycle governance experience

Mentor and guide developers and senior engineers

Conduct design reviews, code reviews, and technical workshops

Collaborate with:

Product managers

Security and compliance teams

Platform and data engineering teams

Translate business requirements into scalable technical solutions

Familiarity with Responsible AI frameworks

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