AI Platform Engineer – Senior Security Clearance

ARSIEM Corporation is committed to fostering a proven and trusted partnership with our government clients across the United States. We offer secure, cutting‑edge technical solutions that empower agencies to achieve mission success. The Senior AI Platform Engineer will help design, integrate, and mature AI‑enabling infrastructure for a Columbia, Maryland client.

• Provide SETA support to government leadership and technical teams on AI platform architecture, integration, and sustainment.
• Advise on the design and evaluation of AI/ML platform environments across cloud, hybrid, and enterprise deployments.
• Support platform decisions involving Azure, AWS, Microsoft enterprise services, containerized environments, data pipelines, model hosting, and secure access patterns.
• Assess platform readiness for AI workloads, including compute, storage, networking, identity, security, observability, and scalability considerations.
• Help evaluate vendor offerings, reference architectures, technical tradeoffs, and implementation approaches.
• Support the development of technical documentation, architecture artifacts, white papers, decision briefings, and executive summaries.
• Coordinate with program managers, engineers, mission stakeholders, cybersecurity teams, and external partners to keep platform efforts aligned with mission outcomes.
• Identify integration risks, technical gaps, and dependencies, and recommend practical mitigation strategies.
• Assist with transition planning from prototype or pilot efforts into sustainable operational capability.
• Educate stakeholders on AI platform concepts, emerging patterns, and implementation best practices in government environments.

• Minimum 12 years with a Bachelors, 10 years with a Masters in Computer Science, Engineering, Information Systems, or a related field.
• Experience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense, or enterprise environments.
• Demonstrated familiarity with Microsoft Azure and/or AWS platform ecosystems.
• Working knowledge of cloud architecture, containers, APIs, data services, identity/access management, and secure system integration.
• Ability to understand how AI applications depend on underlying platform components such as model hosting, pipelines, storage, orchestration, and monitoring.
• Strong written and verbal communication skills.
• Natural curiosity and enthusiasm for learning new technologies.
• Ability to build, test, and explore tools independently.
• Passion for AI and platform modernization.
• Comfortable operating in ambiguous environments and helping teams find a path forward.
• Ability to translate complex technical issues into actionable guidance for mixed technical and non‑technical audiences.
• Mission‑oriented, collaborative, and proactive mindset.

• Experience with Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, Dev Sec Ops , Infrastructure as Code, or platform observability tools.
• Familiarity with secure government cloud environments and cross-domain or restricted operational architectures.
• Understanding of AI governance, responsible AI, model lifecycle support, and platform security considerations.
• Experience supporting DoD, IC, or cyber mission organizations.
• Relevant certifications in cloud, systems engineering, cybersecurity, or platform operations.

This position requires an active TS/SCI with a polygraph. Applicants must be U.S. citizens.

ARSIEM is proud to be an Equal Opportunity and Affiliated Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other federally protected class.