AI Systems Engineer: Cloud & On-Prem Ops

Applied Research Solutions; Kettering (OH); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Applied Research Solutions is seeking an AI Systems Engineer to support, operate, and enhance the platforms that deliver AI capabilities across cloud and on‑prem environments. This role emphasizes operational support, administration, and secure platform management—not AI research or model development.

The ideal candidate will have experience managing M365 Copilot, Azure OpenAI, and on‑prem AI systems, with a strong understanding of data flows and security controls in a CMMC Level 2 setting.

Qualifications

• US citizen with ability to obtain Secret clearance.
• 5+ years of cloud, systems, platform, or operational engineering experience.
• Hands-on experience with M365 administration, Azure services, or Azure OpenAI.
• Knowledge of CMMC Level 2 or NIST SP 800-171 security practices.
• Strong communication and multitasking in a fast-moving operational team.

Responsibilities

• Administer and support AI platform workloads across M365 Copilot, Azure OpenAI, and on-prem AI inference systems.
• Operate AI-related Azure services including Entra ID, networking, private endpoints, resource policies, and secure service integrations.
• Document, monitor, and secure end-to-end AI data flows, applying required controls to meet CMMC Level 2 compliance.
• Assist with implementation of AI-related security controls including identity governance, Conditional Access, RBAC, data classification, DLP, and auditing.
• Implement usage monitoring, token tracking, quotas, and dashboards to control and optimize AI cost.
• Provide operational support to developers using internal AI services, including templates, reference architectures, and troubleshooting.
• Support hybrid cloud and on-prem deployment of AI components, including containerized inference systems and Kubernetes workloads.
• Maintain documentation, SOPs, diagrams, and compliance artifacts related to AI platform operations.
• Continuously learn and adopt new AI platform tools, Azure features, and best practices related to secure and cost-efficient AI operations.
• Other duties as assigned.

Skills

M365 Copilot

Azure OpenAI

Kubernetes

AI data flows

Security governance

Identity governance

RBAC

DLP

CMMC 2 security practices

Education

Bachelor’s degree in a technical field

Tools

Azure services

Entra ID

Container platforms

Job description

Applied Research Solutions is seeking an AI Systems Engineer to support, operate, and enhance the platforms that deliver AI capabilities across cloud and on‑prem environments. This role emphasizes operational support, administration, and secure platform management—not AI research or model development.

The ideal candidate will have experience managing M365 Copilot, Azure OpenAI, and on‑prem AI systems, with a strong understanding of data flows and security controls in a CMMC Level 2 setting.