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AI Platform Engineer – Senior

Arsiem


Job Location:

Columbia, SC - USA

Monthly Salary: Not provided by the employer
Posted: 7 June 2026 (30+ days ago)
Application Deadline: 15 September 2026
Vacancies: 1 Vacancy

Job Summary

About ARSIEM Corporation

At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients. Weprovide support to multiple agencies across the United States Government. ARSIEMhas 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 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 amazingly talented Senior AI Platform Engineer to join our team! In this role you will get to advise and support the design integration and maturation of AI-enabling infrastructure across mission-focused environments. This role is ideal for a technically strong engineer who understands how to stand up assess and guide modern AI platforms in secure government settings with particular familiarity in cloud and enterprise ecosystems such as Microsoft Azure and Amazon Web Services (AWS).

The ideal candidate is not just technically capable but deeply curious self-motivated and passionate about AI. We are looking for someone who continuously learns experiments and stays current with emerging tools architectures and best practiceseven outside formal work requirements. This person should bring both engineering judgment and an enthusiasm for helping government teams adopt AI platforms in a practical secure and mission-aligned way.

This position will support one of our government clients in Columbia Maryland.

Responsibilities
  • 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 involvingAzure 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 Qualifications
  • 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 withMicrosoft 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.
Preferred Qualifications
  • Experience withAzure 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.
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 $3500 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

IC


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