AI Cloud Engineer

Title

AI Cloud Engineer

Location

Onsite - candidates must be local to the Austin area

Candidates MUST currently reside in Austin, Texas or surrounding area.

Stand-Out Qualities include

• Prior Texas Government experience (state or local)
• Other U.S Government experience (federal or state)
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or AI-powered development tools (e.g., GitHub Copilot, ChatGPT-based coding assistants).

Responsibilities

We are seeking a talented and innovative AI Cloud Engineer to join our team. As part of the AI Technical Team, you will design, build, and deploy AI cloud applications and support AI cloud platforms using cloud native services. This includes troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.

• Collaborate with cross-functional teams to deliver scalable and secure solutions.
• Integrate AI tools and techniques into application workflows for automation, predictive analytics, and intelligent features.
• Participate in code reviews, ensure adherence to best practices, and mentor junior developers.
• Troubleshoot and resolve complex technical issues across the stack.

Qualifications

Minimum (Required)

Years

Skills/Experience

4

Strong hands-on experience designing, building, and supporting cloud-native applications on AWS

4

Proficiency with core AWS services such as Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch

4

Experience developing, deploying, and maintaining scalable, highly available, and secure cloud solutions.

4

Expertise in troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.

4

Experience creating and maintaining CI/CD pipelines using tools such as AWS Code Pipeline, GitLab CI/CD, Jenkins, or similar platforms.

4

Proficiency with Infrastructure as Code (IaC) technologies such as Terraform, CloudFormation, or AWS CDK.

4

Strong understanding of cloud networking concepts including VPCs, load balancers, DNS, routing, security groups, and connectivity troubleshooting.

4

Experience with containerization and orchestration technologies such as Docker and Fargate (ECS preferred).

4

Strong scripting and automation skills using Python, PowerShell, Bash, or similar languages to improve operational efficiency.

4

Knowledge of cloud security, monitoring, logging, and operational best practices, including IAM, observability, incident response, and performance optimization.

Preferred (Optional)

Years

Skills/Experience

Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or AI-powered development tools (e.g., GitHub Copilot, ChatGPT-based coding assistants).

Knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).

Understanding of CI/CD pipelines and version control (Git).