Al/ML Platform Engineer

Job Title : Al/ML Platform Engineer
Duration: 6-12 plus months
Location: Onsite Role- 5 days onsite
• Minneapolis/St. Paul “Twin Cities,” MN
• Bay Area, CA – San Francisco and surrounding areas
• Charlotte, NC
• Chicago, IL
• Atlanta, GA
• Cincinnati, OH
• Dallas-Metro, TX
• Denver, CO
• Milwaukee, WI
• NYC, NY
• Portland,OR
• St. Louis, MO
Mutiple Openings

We are looking for Al/ML Platform Engineers with a strong software and cloud engineering background, not traditional data scientists focused on training models, building algorithms, or performing statistical analysis. The ideal candidate should have hands-on experience designing, building, and operating enterprise-scale Al platforms on Azure or AWS. We need engineers who can create Infrastructure as Code using Terraform, Bicep, or CloudFormation, build CI/CD pipelines from the ground up, design cloud architectures, and automate platform operations rather than simply consuming existing tools and processes.

Candidates should possess deep expertise in Kubernetes (more on infrastructure side rather development), including cluster architecture, networking, security, upgrades, scaling, observability, and platform reliability. We are looking for engineers who understand how enterprise networking works and can design and implement or work with landing zones, DNS, load balancing, ingress/egress patterns, private networking, connectivity, and security controls, rather than simply deploying applications into an existing environment.

Experience enabling Al and LLM workloads in production is highly desirable. This role is focused on building the platforms that powers Al applications, including model hosting, inferencing, API gateways, observability, security guardrails, access management, cost controls, and operational excellence at scale. We are less interested in candidates whose primary experience centers around developing, fine-tuning, or researching machine learning models and more interested in engineers who can provide the cloud, platform, and operational foundations that allow Al workloads to run securely and reliably in production.

The ideal candidate thinks like a platform engineer, understands distributed systems at high level, cloud-native architecture, DevSecOps practices, automation, reliability engineering, and enterprise-scale operations, and can build reusable self-service platforms that enable hundreds of developers to securely consume Al capabilities across the organization.

Interested candidates send your resume to alex@amtexenterprises.com