Senior AI Platform Engineer

Senior AI Platform Engineer

The Senior AI Platform Engineer will:

• Design, implement, and manage scalable and resilient infrastructure on AWS.
• Architect and maintain Windows/Linux based environments, ensuring seamless integration with cloud platforms.
• Develop and maintain infrastructure‑as‑code (IaC) using AWS Cloud Formation/CDK and Terraform/Open Tofu.
• Develop and maintain configuration management for Windows & Linux servers using Chef.
• Design, build, and optimize CI/CD pipelines using Git Lab CI/CD for .NET applications.
• Integrate and support AI services, including orchestration with AWS Bedrock, Google Agentspace, and other generative AI frameworks, ensuring they can be securely and efficiently consumed by platform services.
• Enable AI/ML workflows by building and optimizing infrastructure pipelines that support large‑scale model training, inference, and deployment across AWS and GCP environments.
• Automate model lifecycle management (training, deployment, monitoring) through CI/CD pipelines, ensuring reproducibility and seamless integration with development workflows.
• Collaborate with AI engineering teams to deliver scalable environments, standardized APIs, and infrastructure that accelerate AI adoption at the platform level.
• Implement observability, security, data privacy and cost‑optimization strategies specifically for AI workloads, including monitoring and resource scaling for inference services.
• Implement and enforce security best practices across the infrastructure and deployment processes.
• Collaborate closely with development teams to understand their needs and provide Platform expertise.
• Troubleshoot and resolve infrastructure and application deployment issues.
• Implement and manage monitoring and logging solutions to ensure system visibility and proactive issue detection.
• Clearly and concisely contribute to the development and documentation of Platform Engineering standards and best practices.
• Stay up‑to‑date with the latest industry trends and technologies in cloud computing, Platform Engineering, and security.
• Provide mentorship and guidance to junior team members.

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 5+ years of experience in a Platform Engineering, Dev Ops 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 Git Lab 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., New Relic, Cloud Watch).
• Strong scripting skills (e.g., Power Shell, 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.

• Knowledge of and a strong understanding of Power Shell and Python scripting.
• Strong background with AWS EC2 features and services (Autoscaling and Warm Pools).
• 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).

• Comprehensive Medical, Dental, and Vision.
• Paid Time Off Programs including vacation, holidays, illness, and parental leave.
• Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations).
• Retirement benefits, life insurance, 401k match, and tuition reimbursement.
• Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsor ships.

• Lower in range – Building skills and experience in the role.
• Mid‑range – Experience and skills align with proficiency in the role.
• Higher in range – Experience and skills add value above typical requirements of the role.

$95,000 - $155,000

OFFICE