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Senior AI Platform Engineer

Stand 8

Carrollton, Texas

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JOB DETAILS
SKILLS
ADP, Adoption, Amazon Elastic Compute Cloud (EC2), Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Autoscaling, Bash Scripting, Best Practices, Chef (Configuration Management), Cloud Applications, Cloud Computing, Communication Skills, Computer Science, Configuration Management, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cross-Functional, DNS (Domain Name System), DevOps, Docker, Documentation, Employee Assistance Plan, Firewalls, GCP (Good Clinical Practices), Identify Issues, Linux Administration, Linux Operating System, Load Balancing, Mentoring, Microsoft .NET, Microsoft Windows Operating System, Microsoft Windows Server, Microsoft Windows System Administration, Order Picking/Packing, Privacy Controls, Problem Solving Skills, Python Programming/Scripting Language, Reliability Engineering, Ruby, Scripting (Scripting Languages), Systems Administration/Management, TCP/IP (Transmission Control Protocol/Internet Protocol), Team Player, Windows PowerShell
LOCATION
Carrollton, Texas
POSTED
5 days ago
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 GCP
  • 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 GCP 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

About the Company

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Stand 8

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