Generative AI Tech Lead (AWS-Native)

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

- Define and own end-to-end 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, event-driven)

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- Establish standards for: Prompt engineering
- Agent workflows
- Model lifecycle management

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Classification: Internal

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

Generative AI Solution Delivery

- Lead hands-on development of: GenAI services, agents, and APIs using Python
- Bedrock Agent Core SDK–based applications

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- Guide teams on: Prompt optimization and guardrails
- Cost-efficient token usage
- Latency and throughput optimization

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

AWS-Native Cloud Engineering





Design secure, scalable AWS architectures using: AWS Lambda, ECS, EKS, EC2

S3, DynamoDB, Aurora, OpenSearch

API 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: AWS CodePipeline / CodeBuild / CodeDeploy

GitHub Actions / GitLab CI

Lead Infrastructure-as-Code initiatives using:

Classification: Internal

AWS CDK / CloudFormation / Terraform

Automate testing, deployment, rollback, and environment promotion

Observability, Reliability & Operations

Own production observability strategy across AI and application layers: CloudWatch logs, metrics, dashboards

AWS X-Ray distributed tracing

Custom 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: Data encryption (at rest/in transit)
- Secrets management
- Secure prompt and data handling

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- Define guardrails for: Data privacy
- Prompt injection risks
- Model misuse and hallucinations

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- 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:

Classification: Internal

Product managers

Security and compliance teams

Platform and data engineering teams

Translate business requirements into scalable technical solutions

Required Skills & Qualifications

Core Technical Skills (Must Have)

- Expert-level Python development

Strong hands-on experience with: AWS Bedrock

AWS Bedrock Agent Core SDK

AWS Strands SDK

Deep expertise in AWS cloud-native architecture

CI/CD, DevOps automation, and Infrastructure as Code

Robust observability and production operations experience

Preferred Skills (Nice to Have)

Experience with: RAG architectures

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

Container platforms: Docker, Kubernetes (EKS)

MLOps / Model lifecycle governance experience

Cost optimization for large-scale AI workloads

Familiarity with Responsible AI frameworks

Leadership & Soft Skills Classification: Internal

- Strong architectural thinking and decision-making
- Ability to coach and grow engineering talent
- Excellent communication with technical and non-technical stakeholders
- Ownership mindset for production systems

📌 Gen AI Lead AWS Bedrock (Chennai)
🏢 TalentOla
📍 Chennai