Gen AI Lead

Birlasoft; Pune District; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

A leading technology solutions provider is seeking a Generative AI Tech Lead and Developers to provide technical leadership in developing production-grade AI solutions on AWS. The role includes hands-on development, architectural direction, and mentoring team members. Ideal candidates will have advanced Python skills, experience with AWS services like Bedrock and Strands SDK, and knowledge of building scalable AI applications. Join us to work on innovative AI projects and ensure effective AI governance.

Qualifications

• Advanced proficiency in Python and experience with Generative AI applications.
• Hands-on experience in AWS services, particularly Bedrock and Strands SDK.
• Strong understanding of CI/CD pipelines and observability practices.

Responsibilities

• Lead the design and implement Generative AI applications on AWS.
• Develop AI workflows and maintain APIs using Python.
• Ensure security and compliance in AI workflows.

Skills

Python

AWS Bedrock

AWS Strands SDK

CI/CD pipeline implementation

Monitoring and observability

Tools

AWS CodePipeline

Terraform

Job description

• 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:

oBedrock Agent Core SDK oFoundation Models (FM) integration oPrompt 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:

oAWS Lambda, ECS/EKS, EC2 oAPI Gateway / Application Load Balancer oS3, 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 oGitHub 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) oAWS X‑Ray tracing oCustom metrics for model behavior and performance
• Monitor:
• Model response latency oToken usage and cost oError 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 oSecure secrets management (AWS Secrets Manager / Parameter Store)
• Follow enterprise standards for:
• Data privacy oAI governance oResponsible AI usage

Required Skills & Qualifications Technical Skills (Must Have)

• Python (advanced proficiency)

Hands‑on experience with:

oAWS Bedrock oAWS Bedrock Agent Core SDK oAWS 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

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