Senior AI Infrastructure Engineer

Senior AI Infrastructure Engineer

Location: Annapolis Junction, MD
Clearance: TS/SCI with Polygraph required
Work Type: On-site
Salary:$293,000-$306,000

We are seeking an experienced Senior AI Infrastructure Engineer to support the design, deployment, and operation of enterprise artificial intelligence and machine learning platforms. This role will be responsible for developing and maintaining scalable infrastructure that enables the delivery of AI-powered applications and services across the organization.

The successful candidate will independently design, implement, and operate cloud-native infrastructure components while supporting modern AI technologies, distributed systems, and production service environments. This position requires strong expertise in platform engineering, cloud technologies, automation, observability, and software development.

• Design, implement, and optimize infrastructure supporting AI model deployment and inference at scale.
• Develop, maintain, and support production AI services and applications.
• Collaborate with stakeholders and engineering teams to define technical solutions for evolving business and operational requirements.
• Design and implement scalable, reliable, and maintainable platform architectures.
• Drive adoption of emerging technologies, engineering best practices, and automation solutions.
• Implement monitoring, logging, alerting, and observability capabilities for platform services.
• Automate infrastructure provisioning, configuration, and lifecycle management using Infrastructure-as-Code (IaC) methodologies.
• Ensure high availability, reliability, performance, and scalability of platform services.
• Support the secure deployment and operation of AI systems and associated data environments.
• Contribute to system architecture reviews, platform modernization efforts, and operational support activities.
• Provide technical guidance, knowledge sharing, and mentorship to engineering team members.
• Participate in troubleshooting, root cause analysis, and continuous improvement initiatives.

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related technical discipline and eight (8) years of relevant experience; OR
• Four (4) additional years of directly related experience may be substituted for the degree requirement.

• Demonstrated experience building, deploying, and maintaining enterprise-scale production systems.
• Experience designing and supporting high-volume web applications and distributed service architectures.
• Strong background in systems integration across diverse technologies, platforms, and cloud environments.
• Hands‑on experience designing, deploying, and operating cloud infrastructure in Amazon Web Services (AWS).
• Experience administering and deploying applications using Kubernetes.
• Strong software development skills using Python.
• Experience implementing observability and monitoring solutions using technologies such as:
  • Application Performance Monitoring (APM) tools
  • Open Telemetry
  • Grafana
  • Prometheus
• Experience developing and maintaining Continuous Integration and Continuous Deployment (CI/CD) pipelines.
• Knowledge of Dev Ops principles, automation practices, and modern software delivery methodologies.
• Demonstrated ability to lead technical initiatives and influence engineering practices across teams.
• Ability to operate effectively in dynamic environments with evolving requirements.
• Excellent written and verbal communication skills.

• Experience supporting AI model deployment, serving, and inference platforms.
• Experience integrating generative AI and large language model (LLM) technologies into enterprise applications.
• Experience with AI workflow orchestration frameworks, including Lang Chain or similar technologies.
• Knowledge of vector databases, embedding technologies, and semantic search solutions.
• Experience implementing Retrieval‑Augmented Generation (RAG) architectures.
• Experience with distributed computing, high‑performance computing, or large‑scale processing environments.
• Familiarity with autonomous agent frameworks and…