Title:  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
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Design and implement Generative AI applications using AWS Bedrock, including:
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Bedrock Agent Core SDK
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Foundation Models (FM) integration
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Prompt engineering and agent orchestration
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Build AI workflows using AWS Strands SDK for scalable model execution and orchestration
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Develop and maintain reusable AI components, APIs, and services in Python
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Optimize model performance, latency, and cost for production workloads
Classification: Internal
AWS-Native Application Development
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Design and develop cloud-native applications on AWS using:
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AWS Lambda, ECS/EKS, EC2
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API Gateway / Application Load Balancer
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S3, DynamoDB, Aurora, OpenSearch
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Implement secure IAM roles and policies aligned with least-privilege principles
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Build event-driven and microservices-based architectures
DevOps & CI/CD
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Design and maintain CI/CD pipelines using tools such as:
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AWS CodePipeline / CodeBuild / CodeDeploy
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GitHub Actions / GitLab CI (as applicable)
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Infrastructure as Code (IaC) using:
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AWS CloudFormation / CDK / Terraform
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Automate build, test, deployment, and rollbacks for GenAI workloads
Observability & Operations
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Implement end-to-end observability for AI and application workloads:
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Amazon CloudWatch (logs, metrics, alarms)
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AWS X-Ray tracing
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Custom metrics for model behavior and performance
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Monitor:
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Model response latency
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Token usage and cost
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Error rates and failure scenarios
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Participate in incident management, root cause analysis, and system optimization
Classification: Internal
Security, Governance & Compliance
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Ensure secure handling of data used in AI workflows
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Implement:
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Encryption at rest and in transit
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Secure secrets management (AWS Secrets Manager / Parameter Store)
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Follow enterprise standards for:
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Data privacy
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AI governance
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Responsible AI usage
Required Skills & Qualifications
Technical Skills (Must Have)
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Python (advanced proficiency)
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Hands-on experience with:
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AWS Bedrock
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AWS Bedrock Agent Core SDK
o
AWS Strands SDK
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Strong knowledge of AWS services and cloud-native design patterns
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Experience building and deploying applications natively on AWS
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CI/CD pipeline implementation and maintenance

Skills with M/O flag are part of Specialization