Gen AI Lead

Birlasoft; Pune District; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A leading software services company is seeking a Generative AI Tech Lead and Developers to provide technical leadership and architectural direction for AWS-based GenAI solutions. The role involves hands-on development, solution architecture, and team mentorship. Ideal candidates should have advanced Python skills and extensive experience with AWS Bedrock and its SDKs. This position emphasizes the end-to-end development of scalable AI platforms with a focus on CI/CD and observability for production environments. Interested candidates can apply via [e-mail].

Qualifications

• Advanced proficiency in Python is required.
• Hands-on experience with AWS Bedrock and its SDKs is essential.
• Strong knowledge of AWS services and cloud-native design patterns.

Responsibilities

• Design and implement Generative AI applications using AWS Bedrock.
• Build AI workflows with AWS Strands SDK for scalable execution.
• Design and maintain CI/CD pipelines for GenAI workloads.

Skills

Python

AWS Bedrock

AWS Bedrock Agent Core SDK

AWS Strands SDK

CI/CD pipeline implementation

Observability and monitoring

Tools

AWS Lambda

AWS CloudFormation

Terraform

Job description

Job Summary

• We are looking for a Generative AI Tech Lead and Developers 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.
• Team 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.
• Solid understanding of LLMs (Anthropic Claude LLM), embeddings, prompts, tokens, latency, cost factors.
• Practical experience with RAG architectures, vector stores, and grounding strategies.
• Ability to select and justify model choices (open‑source vs proprietary).
• Experience supporting real‑world use cases, not just POCs or demos.
• Experience in AWS Bedrock platform using Python, Strands SDK Multi‑Agents, LangGraph/CrewAI.

Key Responsibilities: Generative AI Development

• Design and implement Generative AI applications using AWS Bedrock, including:
  • Bedrock Agent Core SDK
  • Foundation Models (FM) integration
  • Prompt engineering and agent orchestration
• Build AI workflows using AWS Strands SDK for scalable model execution and orchestration.
• Develop and maintain reusable AI components, APIs, and services in Python.
• Optimize model performance, latency, and cost for production workloads.

AWS‑Native Application Development

• Design and develop cloud‑native applications on AWS using:
  • AWS Lambda, ECS/EKS, EC2
  • API Gateway / Application Load Balancer
  • S3, DynamoDB, Aurora, OpenSearch
• Implement secure IAM roles and policies aligned with least‑privilege principles.
• Build event‑driven and microservices‑based architectures.

DevOps & CI/CD

• Design and maintain CI/CD pipelines using tools such as:
  • AWS CodePipeline / CodeBuild / CodeDeploy
  • GitHub Actions / GitLab CI (as applicable)
• Infrastructure as Code (IaC) using:
  • AWS CloudFormation / CDK / Terraform
• Automate build, test, deployment, and rollbacks for GenAI workloads.

Observability & Operations

• Implement end‑to‑end observability for AI and application workloads:
  • Amazon CloudWatch (logs, metrics, alarms)
  • AWS X‑Ray tracing
  • Custom metrics for model behavior and performance
• Monitor:
  • Model response latency
  • Token usage and cost
  • Error rates and failure scenarios
• Participate in incident management, root cause analysis, and system optimization.

Security, Governance & Compliance

• Ensure secure handling of data used in AI workflows.
• Implement:
  • Encryption at rest and in transit
  • Secure secrets management (AWS Secrets Manager / Parameter Store)
• Follow enterprise standards for:
  • Data privacy
  • AI governance
  • Responsible AI usage

Required Skills & Qualifications

Technical Skills (Must Have)

• Python (advanced proficiency)
• Hands‑on experience with:
  • AWS Bedrock
  • AWS Bedrock Agent Core SDK
  • AWS Strands SDK
• Strong knowledge of AWS services and cloud‑native design patterns.
• Experience building and deploying applications natively on AWS.
• CI/CD pipeline implementation and maintenance.
• Observability and monitoring in production environments.

Preferred Skills (Good to Have)

• Experience with LLMs, RAG (Retrieval Augmented Generation).
• Vector databases and embeddings.
• Knowledge of containerization.
• Familiarity with MLOps or Model Lifecycle Management.
• Experience with cost optimization for AI workloads.
• Understanding of ethical AI and responsible AI principles.

Please share resume [e-mail] with Details.