Generative AI Engineer

Job Description

Generative AI Tech Lead (AWS-Native)

Location Hyderabad / Hybrid / Remote (as applicable)

Experience 815 years overall experience, with 35 years leading cloud and AI engineering teams

Role Summary - We are looking for a Generative AI Tech Lead to provide technical leadership and architectural direction for building and operating production-grade GenAI solutions on AWS. This role combines hands-on development, solution architecture, team mentorship, and operational ownership.

The Tech Lead will own end-to-end delivery of GenAI platforms using Python, AWS Bedrock (Agent Core SDK), AWS Strands SDK, and modern DevOps and observability practices, ensuring scalability, security, reliability, and cost efficiency.

Key Responsibilitie

s
Define and own end-to-end architecture for Generative AI applications deployed natively on A

WSLead technology decisions aroun

d:AWS Bedrock models and agent desi

gnOrchestration using AWS Strands S

DKIntegration patterns (sync, async, event-drive

n)Establish standards fo

r:Prompt engineeri

ngAgent workflo

wsModel lifecycle manageme

ntReview designs and code to ensure performance, scalability, and maintainabili

tyGenerative AI Solution Delive

ryLead hands-on development o

f:GenAI services, agents, and APIs using Pyth

onBedrock Agent Core SDKbased applicatio

nsGuide teams o

n:Prompt optimization and guardrai

lsCost-efficient token usa

geLatency and throughput optimizati

onDrive adoption of RAG, embeddings, and vector storage patterns where appropria

teAWS-Native Cloud Engineeri

ngDesign secure, scalable AWS architectures usin

g:AWS Lambda, ECS, EKS, E

C2S3, DynamoDB, Aurora, OpenSear

chAPI Gateway / A

LBDefine IAM, networking, and security patterns aligned with Zero Trust and least privile

geEnsure high availability, fault tolerance, and disaster recovery strategi

esDevOps, CI/CD & Platform Engineeri

ngDefine and enforce CI/CD standards for GenAI workloads usin

g:AWS CodePipeline / CodeBuild / CodeDepl

oyGitHub Actions / GitLab

CILead Infrastructure-as-Code initiatives usin

g:AWS CDK / CloudFormation / Terrafo

rmAutomate testing, deployment, rollback, and environment promoti

onObservability, Reliability & Operatio

nsOwn production observability strategy across AI and application layer

s:CloudWatch logs, metrics, dashboar

dsAWS X-Ray distributed traci

ngCustom metrics for AI behavior, latency, cost, and accura

cyDefine and monitor SLAs, SLOs, and error budge

tsLead incident response, RCA, and continuous improveme

ntSecurity, Governance & Responsible

AIEnsure secure and compliant GenAI implementation

s:Data encryption (at rest/in transi

t)Secrets manageme

ntSecure prompt and data handli

ngDefine guardrails fo

r:Data priva

cyPrompt injection ris

ksModel misuse and hallucinatio

nsAlign AI implementations with enterprise governance and compliance framewor

ksTeam Leadership & Stakeholder Manageme

ntMentor and guide developers and senior enginee

rsConduct design reviews, code reviews, and technical worksho

psCollaborate wit

h:Classification: Intern

alProduct manage

rsSecurity and compliance tea

msPlatform and data engineering tea

msTranslate business requirements into scalable technical solutio

nsRequired Skills & Qualificatio

nsCore Technical Skills (Must Hav

e)Expert-level Python developme

ntStrong hands-on experience wit

h:AWS Bedro

ckAWS Bedrock Agent Core S

DKAWS Strands S

DKDeep expertise in AWS cloud-native architectu

reCI/CD, DevOps automation, and Infrastructure as Co

deStrong observability and production operations experien