About ARSIEM Corporation
At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. We provide support to multiple agencies across the United States Government. ARSIEM has an experienced workforce of qualified professionals committed to providing the best possible support.
As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients. That means a career packed with opportunities to grow and the ability to have an impact on every client you work with.
ARSIEM is looking for an AIGG Management Analyst. This position will support one of our Government clients in Columbia, Maryland.
Clearance Requirement: This position requires an active TS/SCI with a polygraph. You must be a U.S. citizen for consideration.
Candidate Referral: Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus for this position is $3,500, and the referrer is eligible to receive the sum for any applicant we place within 12 months of referral. The bonus is paid after the referred employee reaches 6 months of employment.
ARSIEM is proud to be an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.
- 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.
- Min 12 years with Bachelors, 10 years with Masters degree in Computer Science, Engineering, Information Systems, or related field.
- Experience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense, or enterprise environments.
- Demonstrated familiarity with Microsoft 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.
- 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.
- Naturally curious and energized by learning new technologies.
- Builds, tests, and explores tools independently.
- Passionate about AI and platform modernization.
- Comfortable operating in ambiguous environments and helping teams find a path forward.
- Able to translate complex technical issues into actionable guidance for mixed technical and non-technical audiences.
- Mission-oriented, collaborative, and proactive.
- Experience with Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, 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.