Senior AI Systems Engineer

🕒 Maio 30

🌶️ New Mexico, North Carolina – Remoto

🌶️ New Mexico – Remote 🌲 North Carolina – Remote

⏰ Tempo Integral

🟠 Sênior

⚙️ Engenheiro de Sistemas

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ARA

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🚀 Aeroespacial

🤖 Inteligência Artificial

🔬 Ciência

💰 $12.000.000 Grant em 2023-04

Aerospace • Artificial Intelligence • Science

A ARA é uma empresa de pesquisa aplicada e engenharia 100% de propriedade dos funcionários que fornece soluções tecnicamente rigorosas nos domínios de segurança nacional, infraestrutura, saúde e energia. A empresa é especializada em tecnologias C4ISR e espaciais, sistemas não tripulados e autonomia, sensores e sistemas de segurança avançados, AR/VR e ambientes sintéticos, IA/ML, eletromagnetismo e testes explosivos, biodefesa e modelagem fisiológica, e engenharia de risco de desastres e infraestrutura. A ARA oferece serviços técnicos focados em pesquisa, engenharia, prototipagem e missão para clientes governamentais e comerciais.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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