AI Cloud Engineer

Allied Consultants, Inc. • Austin, TX

2d

About The Position

Allied Consultants, Inc. is seeking an AI Cloud Engineer to join its AI Technical Team. The role designs, builds, and deploys AI cloud applications and supports AI cloud platforms using cloud-native services. It also involves troubleshooting application, infrastructure, networking, and performance issues in cloud environments. The engineer collaborates with cross-functional teams to deliver scalable and secure solutions, integrates AI tools and techniques into application workflows, participates in code reviews, upholds best practices, mentors junior developers, and resolves complex technical issues across the stack.

Requirements

• At least 4 years of hands-on experience designing, building, and supporting cloud-native applications on AWS.
• At least 4 years of proficiency with AWS Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch.
• At least 4 years of experience developing, deploying, and maintaining scalable, highly available, and secure cloud solutions.
• At least 4 years of expertise troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.
• At least 4 years of experience creating and maintaining CI/CD pipelines using AWS CodePipeline, GitLab CI/CD, Jenkins, or similar platforms.
• At least 4 years of proficiency with Infrastructure as Code technologies such as Terraform, CloudFormation, or AWS CDK.
• At least 4 years of strong understanding of cloud networking concepts, including VPCs, load balancers, DNS, routing, security groups, and connectivity troubleshooting.
• At least 4 years of experience with containerization and orchestration technologies such as Docker and Fargate; ECS is preferred.
• At least 4 years of scripting and automation skills using Python, PowerShell, Bash, or similar languages to improve operational efficiency.
• At least 4 years of knowledge of cloud security, monitoring, logging, and operational best practices, including IAM, observability, incident response, and performance optimization.

Nice To Haves

• Familiarity with AI/ML frameworks such as TensorFlow or PyTorch, or AI-powered development tools such as GitHub Copilot or ChatGPT-based coding assistants.
• Knowledge of cloud platforms such as AWS, Azure, or GCP and containerization such as Docker or Kubernetes.
• Understanding of CI/CD pipelines and version control using Git.

Responsibilities

• Design, build, and deploy AI cloud applications using cloud-native services.
• Support AI cloud platforms.
• Troubleshoot 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 and ensure adherence to best practices.
• Mentor junior developers.
• Troubleshoot and resolve complex technical issues across the stack.

Benefits

• Highly competitive pay rates.
• Local support staff for responsive, personal service.
• Comprehensive benefits package, including medical insurance with employer cost sharing, life insurance, a 401(k) plan with company match, and flexible spending through a cafeteria plan.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed