Sr Architect

Area(s) of responsibility

Classification: Internal

Job Description

Generative AI Tech Lead (AWS-Native)

Location

Hyderabad / Hybrid / Remote (as applicable)

Experience

8–15 years overall experience, with 3–5 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 Responsibilities

Technical Leadership & Architecture

• Deine and own end-to-end architecture for Generative AI applications deployed natively on AWS
• Lead technology decisions around:
  
  

oAWS Bedrock models and agent design

oOrchestration using AWS Strands SDK

oIntegration patterns (sync, async, event-driven)

• Establish standards for:
  
  

oPrompt engineering

oAgent workflows

oModel lifecycle management

Classification: Internal

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

Generative AI Solution Delivery

• Lead hands-on development of:
  
  

oGenAI services, agents, and APIs using Python

oBedrock Agent Core SDK–based applications

• Guide teams on:
  
  

oPrompt optimization and guardrails

oCost-efficient token usage

oLatency and throughput optimization

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

AWS-Native Cloud Engineering

• Design secure, scalable AWS architectures using:
  
  

oAWS Lambda, ECS, EKS, EC2

oS3, DynamoDB, Aurora, OpenSearch

oAPI Gateway / ALB

• Define IAM, networking, and security patterns aligned with Zero Trust and least privilege
• Ensure high availability, fault tolerance, and disaster recovery strategies
  
  

DevOps, CI/CD & Platform Engineering

• Define and enforce CI/CD standards for GenAI workloads using:
  
  

oAWS CodePipeline / CodeBuild / CodeDeploy

oGitHub Actions / GitLab CI

• Lead Infrastructure-as-Code initiatives using:
  
  

Classification: Internal

oAWS CDK / CloudFormation / Terraform

• Automate testing, deployment, rollback, and environment promotion
  
  

Observability, Reliability & Operations

• Own production observability strategy across AI and application layers:
  
  

oCloudWatch logs, metrics, dashboards

oAWS X-Ray distributed tracing

oCustom metrics for AI behavior, latency, cost, and accuracy

• Define and monitor SLAs, SLOs, and error budgets
• Lead incident response, RCA, and continuous improvement
  
  

Security, Governance & Responsible AI

• Ensure secure and compliant GenAI implementations:
  
  

oData encryption (at rest/in transit)

oSecrets management

oSecure prompt and data handling

• Define guardrails for:
  
  

oData privacy

oPrompt injection risks

oModel misuse and hallucinations

• Align AI implementations with enterprise governance and compliance frameworks
  
  

Team Leadership & Stakeholder Management

• Mentor and guide developers and senior engineers
• Conduct design reviews, code reviews, and technical workshops
• Collaborate with:

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