Top Secret AI Systems Engineer

Insight Global; Fort Meade (MD); On-site; USD 103,000 - 158,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

HSA/FSA/DCFSA options

401k retirement account with employer–

Paid time off and sick leave

Job summary

Insight Global is seeking an AI Systems Engineer to deploy and sustain AI-enabled applications within customer and mission-focused environments. This role bridges development and production, ensuring scalable AI deployments and reliable infrastructure.

You will collaborate with software engineers, AI/ML teams, and leadership to deploy scalable environments, manage containerized workloads with Docker and Kubernetes, and implement CI/CD pipelines for efficient deployments.

Qualifications

• Active Top-Secret Clearance with ability to obtain/maintain TS/SCI
• 5+ years of experience in Systems Engineering, Platform Engineering, Infrastructure Engineering, DevSecOps, Cloud Engineering, or related technical environments
• Experience deploying, integrating, or supporting software applications within production environments
• Experience supporting cloud-based platforms in AWS, Azure, or similar environments
• Experience with Docker and Kubernetes
• Experience integrating applications, APIs, or distributed services
• Linux administration and troubleshooting experience
• Strong understanding of networking fundamentals (TCP/IP, DNS, routing, load balancing, firewalls)
• Strong troubleshooting and problem-solving skills
• Active TS/SCI or Polygraph
• Experience supporting Large Language Models (LLMs), Generative AI, Machine Learning, or AI-enabled applications
• Experience supporting MLOps pipelines and deployment frameworks
• Experience with MLflow, Kubeflow, TensorFlow Serving, LangSmith, Arize Phoenix, or similar technologies
• Experience with GPU-enabled environments, high-performance computing, or AI infrastructure platforms
• Experience with Infrastructure as Code tools such as Terraform or Pulumi
• Experience supporting PostgreSQL, Redis, vector databases, or other modern data platforms
• Experience working within cyber, intelligence, defense, or national security organizations
• Previous military experience within cyber, intelligence, communications, networking, or technical operations communities
• Experience supporting customer-facing implementation, integration, or deployment efforts

Responsibilities

• Deploy and integrate AI-enabled applications within cloud, hybrid, and customer-operated environments
• Support platform architecture, infrastructure components, and application connectivity across multiple systems
• Manage and maintain containerized environments using Docker and Kubernetes
• Implement and support CI/CD pipelines to streamline software deployment and operational efficiency
• Monitor, troubleshoot, and optimize system performance, reliability, and availability
• Support infrastructure automation, configuration management, and scalability initiatives
• Collaborate with software engineering, AI/ML, and systems engineering teams throughout the deployment lifecycle
• Evaluate and integrate emerging technologies into existing operational environments
• Assist with customer-facing deployment, integration, testing, and troubleshooting efforts
• Support secure, mission-critical environments requiring high levels of reliability and operational excellence

Skills

Top-Secret Clearance TS/SCI

System engineering

DevSecOps

Cloud engineering

Docker

Kubernetes

CI/CD pipelines

Linux administration

Networking fundamentals

MLOps

LLMs / Generative AI experience

Terraform / Pulumi

PostgreSQL / Redis

Tools

MLflow

Kubeflow

TensorFlow Serving

LangSmith

Arize Phoenix

Job description

Job Description

Insight Global is seeking an AI Systems Engineer to support the deployment, integration, and sustainment of AI-enabled applications within customer and mission-focused environments. This individual will serve as a key technical contributor responsible for helping transition emerging AI technologies from development and prototype environments into operational use. The ideal candidate possesses a strong background in systems engineering, cloud technologies, application integration, infrastructure management, and platform operations, with the ability to work across multiple technologies and evolving mission requirements.

The selected candidate will work closely with software engineers, AI/ML engineers, architects, and technical leadership to deploy scalable environments, integrate applications into customer ecosystems, and maintain the infrastructure necessary to support reliable operations. Successful candidates will be comfortable troubleshooting complex issues, supporting distributed systems, and enabling the successful deployment of AI-driven capabilities into production environments. This role is ideal for someone who enjoys solving challenging technical problems, working directly with stakeholders, and helping bridge the gap between innovative technology development and real-world implementation.

Additional Responsibilities

• Deploy and integrate AI-enabled applications within cloud, hybrid, and customer-operated environments
• Support platform architecture, infrastructure components, and application connectivity across multiple systems
• Manage and maintain containerized environments using Docker and Kubernetes
• Implement and support CI/CD pipelines to streamline software deployment and operational efficiency
• Monitor, troubleshoot, and optimize system performance, reliability, and availability
• Support infrastructure automation, configuration management, and scalability initiatives
• Collaborate with software engineering, AI/ML, and systems engineering teams throughout the deployment lifecycle
• Evaluate and integrate emerging technologies into existing operational environments
• Assist with customer-facing deployment, integration, testing, and troubleshooting efforts
• Support secure, mission-critical environments requiring high levels of reliability and operational excellence

$75hr to $115hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail].

Skills and Requirements

• Active Top-Secret Clearance with ability to obtain/maintain TS/SCI
• 5+ years of experience in Systems Engineering, Platform Engineering, Infrastructure Engineering, DevSecOps, Cloud Engineering, or related technical environments
• Experience deploying, integrating, or supporting software applications within production environments
• Experience supporting cloud-based platforms in AWS, Azure, or similar environments
• Experience with Docker and Kubernetes
• Experience integrating applications, APIs, or distributed services
• Linux administration and troubleshooting experience
• Strong understanding of networking fundamentals (TCP/IP, DNS, routing, load balancing, firewalls)
• Strong troubleshooting and problem-solving skills
• Active TS/SCI or Polygraph
• Experience supporting Large Language Models (LLMs), Generative AI, Machine Learning, or AI-enabled applications
• Experience supporting MLOps pipelines and deployment frameworks
• Experience with MLflow, Kubeflow, TensorFlow Serving, LangSmith, Arize Phoenix, or similar technologies
• Experience with GPU-enabled environments, high-performance computing, or AI infrastructure platforms
• Experience with Infrastructure as Code tools such as Terraform or Pulumi
• Experience supporting PostgreSQL, Redis, vector databases, or other modern data platforms
• Experience working within cyber, intelligence, defense, or national security organizations
• Previous military experience within cyber, intelligence, communications, networking, or technical operations communities
• Experience supporting customer-facing implementation, integration, or deployment efforts