AI Cloud Engineer
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 29, 2026.
Overview
Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience AI Cloud Engineer to play a key role within a high-impact technical services team.
At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:
- 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
- Flexible spending through a cafeteria plan
Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks.
Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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.
If you are passionate about artificial intelligence and innovation, we’d love to hear from you!
- 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).