Senior AI Systems Engineer

🕒 4 days ago

🌶️ New Mexico, North Carolina – Remote

🌶️ New Mexico – Remote 🌲 North Carolina – Remote

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

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ARA

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚀 Aerospace

🤖 Artificial Intelligence

🔬 Science

💰 $12M Grant on 2023-04

Aerospace • Artificial Intelligence • Science

ARA is a 100% employee-owned applied research and engineering company that provides technically rigorous solutions across national security, infrastructure, health, and energy domains. The firm specializes in C4ISR and space technologies, unmanned systems and autonomy, sensors and advanced security systems, AR/VR and synthetic environments, AI/ML, electromagnetics and explosive testing, biodefense and physiological modeling, and disaster risk and infrastructure engineering. ARA delivers research, engineering, prototyping, and mission-focused technical services to government and commercial customers.

📋 Description

• Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes. • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams. • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment. • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management. • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices. • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services. • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices. • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews. • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency. • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives. • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value. • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

🎯 Requirements

• Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure. • Strong coding and automation skills in Python, Bash, or similar scripting languages. • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems. • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes. • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments. • Familiarity with security frameworks and compliance standards such as NIST and CMMC. • Familiarity with AI security functionality in enterprise environments including OAuth. • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Security clearance support