AI Platform & Solutions Engineer

AGS - American Gaming Systems; Atlanta (GA); On-site; USD 130,000 - 190,000; Full time

Job summary

AGS - American Gaming Systems in Atlanta, GA seeks a hands-on DevOps/Platform Engineer to build and run the production infrastructure for its AI and data program, including cloud platforms, CI/CD pipelines, and containerized services.

You will implement Azure Fabric Foundry integration, maintain a scalable data foundation, monitor performance, and enforce security controls so developers can ship models and games confidently in production.

Qualifications

• 5–8 years of DevOps or platform engineering experience.
• Azure expertise (required) with experience in Fabric/Foundry.
• Infrastructure as code with Terraform, Bicep, or Pulumi.
• Container orchestration with Docker/Kubernetes/Azure Container Apps.
• AI/ML infrastructure experience including model serving and vector search.
• CI/CD pipeline expertise with GitHub Actions/Azure DevOps/Jenkins.
• Security fundamentals: secrets management, network security, cloud IAM.
• Strong scripting: Python, Bash; PowerShell for Windows/Azure.
• Bachelor's degree in Computer Science, Engineering, or equivalent.

Responsibilities

• Provision and manage the agentic AI platform infrastructure, Azure AI Foundry and Azure AI Search.
• Build the Microsoft Fabric data foundation and migrate data from on-prem/Salesforce/AWS to Fabric.
• Container orchestration and health monitoring of services.
• Implement monitoring/observability with Datadog, Azure Monitor, App Insights.
• Implement security and governance at infrastructure level (Key Vault, RBAC, private endpoints).
• Support game build pipelines and Unity-related processes as required.
• Build and maintain CI/CD pipelines for game software, AI models, and apps.
• Create developer-friendly infrastructure to reduce blockers for devs and data engineers.

Skills

DevOps

Azure

IaC

Container Orchestration

AI/ML Infra

CI/CD

Security

Python

Bash

PowerShell

Education

Bachelor's degree in CS/Engineering

Tools

Terraform

Kubernetes

Azure Container Apps

Azure DevOps

GitHub Actions

Docker

Helm

Job description

The DevOps / Platform Engineer builds and maintains the technical infrastructure that enables AGS's entire AI and data program to run reliably in production. This is a hands‑on individual contributor role responsible for cloud infrastructure, CI/CD pipelines, container orchestration, and the agentic AI deployment platform — including standing up the Microsoft Fabric data foundation and Azure AI Foundry agent runtime that the rest of the transformation program depends on. The DevOps Engineer is a prerequisite for the AI program: without reliable infrastructure, no agent, model, or migrated dataset can reach production.

Responsibilities

• Provision and manage the agentic AI platform infrastructure — Azure AI Foundry as the primary agent hosting/runtime environment, Azure AI Search for vector and keyword retrieval, container-based agent deployment, and Azure ML model serving endpoints
• Build the Microsoft Fabric data foundation — support OneLake, Lakehouse/Warehouse, and medallion (bronze/silver/gold) architecture setup, including wave-based migration of on‑prem, Salesforce, and AWS‑hosted interactive data into Fabric
• Container orchestration — manage Docker containers, Kubernetes or Azure Container Apps, Azure Container Registry, Helm charts, and health monitoring for all deployed services
• Implement monitoring and observability — deploy Datadog, Azure Monitor, and Azure ML model monitoring/App Insights for infrastructure health, application performance, AI model latency and drift, and cost tracking
• Implement security and governance controls at the infrastructure level — secrets management (Azure Key Vault), Entra ID (RBAC, managed identities, SSO), network segmentation and private endpoints (VPN/ExpressRoute), and data lineage/governance via Purview
• Support game build pipelines — understand and support the Unity game build process including certification compliance checkpoints and regulatory requirements
• Build and maintain CI/CD pipelines for game software, AI models/agents, and business applications (GitHub Actions/Azure DevOps) — automated build, test, and deployment without manual intervention
• Create developer‑friendly infrastructure — reduce friction for game developers, AI engineers, and data engineers so they can ship without infrastructure blockers

Skills/Requirements

• 5–8 years of DevOps or platform engineering experience, with demonstrated ownership of cloud infrastructure at a company of comparable technical complexity
• Azure expertise (required) — deep hands‑on experience with Azure, AGS's target cloud platform for Fabric and Foundry; AWS familiarity is a plus, since some interactive data currently sits in AWS
• Infrastructure as code proficiency — Terraform, Bicep, or Pulumi for reproducible, auditable cloud environments
• Container and orchestration experience — Docker, Kubernetes, or Azure Container Apps; Helm chart management; experience scaling containerized workloads
• AI/ML infrastructure experience — has deployed LLM‑based applications or ML models to production; experience with vector search (Azure AI Search, Pinecone, or pgvector), model serving APIs, and LLM cost management
• CI/CD pipeline expertise — GitHub Actions, Azure DevOps, or Jenkins; has built pipelines for polyglot environments (multiple programming languages and frameworks)
• Security fundamentals — experience implementing secrets management, network security groups, and cloud IAM (Entra ID or equivalent) integration
• Strong scripting skills — Python and Bash for automation; PowerShell for Windows/Azure environments
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred

• Experience with Microsoft Fabric (OneLake, Data Factory, Fabric Notebooks) or similar unified analytics platforms
• Experience supporting MLOps infrastructure (Azure ML, MLflow) for model training, registry, and deployment
• Experience with gaming software build pipelines including certification requirements
• Familiarity with Unity game engine build and deployment processes
• Experience with remote device management for distributed hardware fleets

Note: All offers are contingent upon successful completion of a background check

*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.