Job Purpose

Lead and drive the deployment of cutting-edge GenAI solutions on AWS, leveraging expertise and experience to deliver transformative results.

Roles and Responsibilities

Develop and deploy Generative AI applications using AWS Bedrock, Bedrock Agent Core SDK, and Strands SDK, ensuring scalable and productiongrade implementations.
Build reusable AI components, APIs, and Python-based services, optimizing model performance, latency, and cost across workloads.
Design and deliver AWS-native cloud applications leveraging Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and other core AWS services.
Implement secure and compliant architectures through IAM best practices, encryption, secrets management, and Responsible AI guidelines.
Build and maintain CI/CD pipelines using AWS CodePipeline, CodeBuild, CodeDeploy, GitHub/GitLab CI, and IaC tools like CloudFormation/CDK/Terraform.
Integrate endtoend observability and monitoring using CloudWatch, XRay, and custom model performance metrics for reliable operations.
Collaborate with platform, data, and product teams to deliver secure, scalable, and costefficient GenAI solutions aligned with enterprise standards.
Utilize RAG, vector databases, containerization (Docker/Kubernetes), and MLOps practices to enhance AI solution robustness.

Requirements

Bachelor's degree in Computer Science or related field.
Master's degree preferred.
Minimum of 5 years of experience working with AWS technologies, with a focus on artificial intelligence and machine learning.
Prior executive-level experience is required.
Strong understanding of AI and ML concepts.
Expertise in AWS services such as Sagemaker, Polly, Rekognition, etc.
Excellent communication and leadership skills.
Ability to think strategically and drive innovation.
Strong problem-solving and analytical skills.
Experience managing teams and projects effectively.
Knowledge of data privacy and security principles.

Technical Lead - GenAI