Senior AI Platform Engineer

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. Senior AI Platform Engineer will be responsible for designing, implementing, and managing scalable cloud infrastructure while enabling AI/ML platform capabilities. This role focuses on building resilient AWS and multi-cloud environments, developing CI/CD pipelines, and supporting AI-driven workloads. The engineer will collaborate with cross-functional teams to deliver secure, efficient, and scalable platform solutions. This position plays a critical role in advancing platform engineering standards and accelerating AI adoption across the organization.

Location & Work Type Location:

Carrollton, TX Work Type:

Onsite Key Responsibilities Design, implement, and manage scalable and resilient infrastructure on AWS Architect and maintain Windows/Linux environments integrated with cloud platforms Develop and maintain infrastructure-as-code using AWS CloudFormation/CDK and Terraform/OpenTofu Implement configuration management for Windows and Linux servers using Chef Build and optimize CI/CD pipelines using GitLab CI/CD for .NET applications Integrate and support AI services including orchestration with AWS Bedrock and generative AI frameworks Enable AI/ML workflows supporting large-scale model training, inference, and deployment across AWS and Google Cloud Platform Automate model lifecycle management including training, deployment, and monitoring Collaborate with AI and development teams to deliver scalable platform environments and APIs Implement observability, security, data privacy, and cost optimization strategies for AI workloads Enforce security best practices across infrastructure and deployment processes Troubleshoot infrastructure and application deployment issues Implement monitoring and logging solutions for system visibility and proactive detection Contribute to platform engineering standards, documentation, and best practices Stay current with cloud, AI, and platform engineering trends and technologies Provide mentorship and guidance to junior team members

Qualifications Required:

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) 5+ years of experience in a Platform Engineering, DevOps or Site Reliability Engineering (SRE) role 1+ year(s) of experience with AI services & LLMs Extensive hands-on experience with Amazon Web Services (AWS) Solid understanding of Windows/Linux Server administration and integration with cloud environments Proven experience with infrastructure-as-code tools, specifically AWS CDK and Terraform Strong experience designing and implementing CI/CD pipelines using GitLab CI/CD Experience deploying and managing .NET applications in cloud environments Deep understanding of security best practices and their implementation in cloud infrastructure and CI/CD pipelines Solid understanding of networking principles (TCP/IP, DNS, load balancing, firewalls) in cloud environments Experience with monitoring and logging tools (e.g., NewRelic, CloudWatch) Strong scripting skills (e.g., PowerShell, Python, Ruby, Bash) Excellent problem-solving and troubleshooting skills Strong communication and collaboration skills Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus Relevant AWS and/or Google Cloud Platform certifications are a plus Experience with the configuration management tool Chef Preferred (Optional): Knowledge of and a strong understanding of Powershell and Python Scripting Strong background with AWS EC2 features and Services (Autoscaling and WarmPools) Understanding of Windows server Build process using tools like Chocolaty for packages and Packer for AMI/Image generation Extensive hands-on experience with Amazon Web Services (AWS) Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Paid-time-off options Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow Additional Details The base range for this contract position is $62.11 - $72.11 / per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and

TECHNOLOGY.

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