Technical Specialist-App Development

Area(s) of responsibility

We are seeking a Generative AI Developer to design, build, deploy, and operate AI-powered applications natively on AWS. The ideal candidate has strong experience in Python, hands-on expertise with AWS Bedrock (Agent Core SDK), AWS Strands SDK, and a solid foundation in cloud-native development, DevOps pipelines, and observability.
You will work closely with platform, data, and product teams to deliver secure, scalable, and production-grade GenAI solutions.
Key Responsibilities
Generative AI Development
•
Design and implement Generative AI applications using AWS Bedrock, including:
o
Bedrock Agent Core SDK
o
Foundation Models (FM) integration
o
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
Classification: Internal
AWS-Native Application Development
•
Design and develop cloud-native applications on AWS using:
o
AWS Lambda, ECS/EKS, EC2
o
API Gateway / Application Load Balancer
o
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:
o
AWS CodePipeline / CodeBuild / CodeDeploy
o
GitHub Actions / GitLab CI (as applicable)
•
Infrastructure as Code (IaC) using:
o
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:
o
Amazon CloudWatch (logs, metrics, alarms)
o
AWS X-Ray tracing
o
Custom metrics for model behavior and performance
•
Monitor:
o
Model response latency
o
Token usage and cost
o
Error rates and failure scenarios
•
Participate in incident management, root cause analysis, and system optimization
Classification: Internal
Security, Governance & Compliance
•
Ensure secure handling of data used in AI workflows
•
Implement:
o
Encryption at rest and in transit
o
Secure secrets management (AWS Secrets Manager / Parameter Store)
•
Follow enterprise standards for:
o
Data privacy
o
AI governance
o
Responsible AI usage
Required Skills & Qualifications
Technical Skills (Must Have)
•
Python (advanced proficiency)
•
Hands-on experience with:
o
AWS Bedrock
o
AWS Bedrock Agent Core SDK
o
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

Skills with M/O flag are part of Specialization