Senior AI Systems Engineer

🕒 vor 14 Tagen

🌶️ New Mexico, North Carolina – Remote

🌶️ New Mexico – Remote 🌲 North Carolina – Remote

⏰ Vollzeit

🟠 Senior

⚙️ Systemingenieur

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ARA

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1001 - 5000 Mitarbeiter

🚀 Luft- und Raumfahrt

🤖 Künstliche Intelligenz

🔬 Wissenschaft

💰 €12.000.000 Grant im 2023-04

Aerospace • Artificial Intelligence • Science

ARA ist ein 100-prozentiges mitarbeitergeführtes angewandtes Forschungs- und Ingenieursunternehmen, das technisch anspruchsvolle Lösungen in den Bereichen nationale Sicherheit, Infrastruktur, Gesundheit und Energie bietet. Das Unternehmen spezialisiert sich auf C4ISR- und Raumfahrttechnologien, unbemannte Systeme und Autonomielösungen, Sensoren und fortschrittliche Sicherheitssysteme, AR/VR und synthetische Umgebungen, KI/ML, Elektromagnetik und Sprengstofftests, biologische Abwehr und physiologische Modellierungen sowie Katastrophenschutz und Infrastrukturentwicklung. ARA liefert Forschung, Ingenieurleistung, Prototyping und missionsorientierte technische Dienstleistungen für staatliche und kommerzielle Kunden.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

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