Senior AI Platform Engineer​/Full Stack Software Engineer

Senior AI Platform Engineer / Full Stack Software Engineer

Location: Annapolis Junction, MD

Security Clearance: TS/SCI with Polygraph

Work Type: On-site

Salary: $190,000-$198,000

We are seeking an experienced Senior AI Platform Engineer / Full Stack Software Engineer to support the development, deployment, and operation of enterprise AI infrastructure and services. This role will help design and maintain the foundational platform that enables artificial intelligence and machine learning capabilities across the organization.

The successful candidate will work on scalable AI services, cloud-native infrastructure, and modern software platforms while supporting the integration of emerging AI technologies into production environments. This position requires strong software engineering, cloud engineering, and platform operations expertise, along with the ability to operate effectively in dynamic and evolving technical environments.

• Design, implement, and optimize infrastructure supporting large-scale AI model inference and deployment.
• Develop, maintain, and support production AI services and applications.
• Collaborate with stakeholders and engineering teams to define solutions for evolving technical requirements.
• Design and implement scalable, reliable, and maintainable platform components.
• Drive adoption of modern engineering practices, technologies, and automation solutions.
• Implement monitoring, logging, alerting, and observability capabilities for platform services.
• Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) methodologies.
• Ensure high availability, reliability, scalability, and performance of platform services.
• Support the integration of AI and machine learning capabilities into enterprise applications.
• Contribute to security, compliance, and data protection practices for cloud and AI systems.
• Provide technical guidance and mentorship to junior engineers.
• Participate in system architecture reviews, deployment planning, and operational support activities.

• 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 designing, building, and operating production systems at enterprise scale.
• Experience developing and supporting high-volume web applications and distributed systems.
• Strong understanding of systems integration across diverse technologies, platforms, and services.
• Hands‑on experience designing, deploying, and managing cloud‑based solutions in Amazon Web Services (AWS).
• Experience administering and deploying applications in Kubernetes environments.
• Strong Python programming and software development skills.
• Experience implementing observability and monitoring solutions, including technologies such as:
  • Open Telemetry
  • Grafana
  • Prometheus
  • Application Performance Monitoring (APM) platforms
• Experience with Continuous Integration and Continuous Deployment (CI/CD) pipelines.
• Knowledge of Dev Ops principles, automation practices, and modern software delivery methodologies.
• Ability to lead technical initiatives and influence engineering practices across teams.
• Strong communication, collaboration, and stakeholder engagement skills.
• Ability to operate effectively in environments with evolving requirements and emerging technologies.

• Experience supporting AI model serving and inference platforms.
• Experience integrating large language models (LLMs) or generative AI capabilities into enterprise applications.
• Experience with AI orchestration and workflow frameworks, including Lang Chain or similar technologies.
• Knowledge of vector databases, embeddings, and semantic search technologies.
• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Experience with distributed computing, high-performance computing, or large-scale data processing systems.
• Familiarity with autonomous agent frameworks and emerging AI technologies.