What are the responsibilities and job description for the Cloud Engineer position at Haystack?
AI Cloud Engineer | Raleigh, North Carolina | Hybrid
We're working with Genworth on this exciting opportunity.
As an AI Cloud Engineer, you'll design, build, and operate AI solutions on AWS for Genworth. You will play a key role in operationalizing AI at scale, working across the organization with data scientists, data engineers, and product teams to deliver high-impact GenAI solutions.
Key Responsibilities
We're working with Genworth on this exciting opportunity.
As an AI Cloud Engineer, you'll design, build, and operate AI solutions on AWS for Genworth. You will play a key role in operationalizing AI at scale, working across the organization with data scientists, data engineers, and product teams to deliver high-impact GenAI solutions.
Key Responsibilities
- GenAI Platform Enablement: Support the development, implementation, scalability and operations of enterprise-grade GenAI platforms.
- Engineering: Engineer robust, secure, governed, and re-useable GenAI capabilities and patterns across the business by leveraging best-practices in architecture, automation, and DevOps.
- Collaboration: Contribute to the development and engineering of internal tools, APIs, and infrastructure to streamline adoption of GenAI services across the organization.
- Observability & Quality: Implement end-to-end monitoring, alerting SLA/SLOs, metrics, and cost.
- Bachelor’s degree in computer science, information technology, cloud engineering or similar field.
- 5 years experience in AWS Foundations: ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF, Bedrock.
- 5 years experience with CI/CD: CodeBuild/CodePipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
- 3 years experience with IaC & Platforms: Terraform (preferred), parameterized modules, environment promotion, tagging, and cost governance.