Artificial Intelligence

• Design, build, and deploy secure, scalable, and resilient AWS cloud architectures using Infrastructure as Code and modern microservices/serverless patterns
• Serve as the primary technical leader on strategic enterprise client engagements
• Partner with CIOs, CTOs, VPs of Infrastructure/Engineering, and client development teams to translate business goals into AWS solutions
• Lead large-scale migrations from on-premises data centers or legacy platforms to AWS
• Re-architect legacy monolithic applications into modern serverless or containerized architectures
• Architect and deploy enterprise Generative AI and machine learning workloads using Amazon Bedrock, SageMaker, vector databases, and custom RAG implementations
• Identify new, high-value cloud workloads within client accounts and drive AWS consumption expansion
• Coach and mentor Cloud Engineers and Solutions Architects
• Drive internal accelerators, reusable Terraform modules, AWS Well-Architected Review frameworks, and cloud delivery best practices

Explore Data & AI Forward Deployed Engineer at RevStar. Review requirements and application details.