Title:  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: