ARSIEM Corporation
0007-0028
AIPlatformEngineer–Senior
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Platform Engineer – Senior at ARSIEM Corporation. Skills: AI Platform Engineering, Cloud Architecture, AI/ML Platforms, DevOps. Provide SETA support. Advise on AI/ML platform design”
Industry & Context.
Identify integration risks; Identify technical gaps; Identify dependencies; Recommend practical mitigation strategies; Translate complex technical issues
TS/SCI with polygraph, U.S. citizen
What They're Looking For.
Must Have
12 years with Bachelors, 10 years with Masters, Experience supporting AI/ML, Experience supporting data, Experience supporting cloud, Experience supporting platform engineering, Familiarity with Microsoft platform, Familiarity with AWS platform, Working knowledge of cloud architecture, Working knowledge of containers, Working knowledge of APIs, Working knowledge of data services, Working knowledge of identity/access management, Working knowledge of secure system integration, Understand AI application dependencies, Written communication skills, Verbal communication skills
Nice to Have
Experience with Azure AI services, Experience with AWS AI/ML services, Experience with Kubernetes, Experience with Docker, Experience with MLOps, Experience with DevSecOps, Experience with Infrastructure as Code, Experience with platform observability tools, Familiarity with secure government cloud environments, Familiarity with cross-domain architectures, Familiarity with restricted operational architectures, Understanding of AI governance, Understanding of responsible AI, Understanding of model lifecycle support, Understanding of platform security considerations, Experience supporting DoD, Experience supporting IC, Experience supporting cyber mission organizations, Cloud certifications, Systems engineering certifications, Cybersecurity certifications, Platform operations certifications
What You'll Do.
Advise on AI/ML platform design
Advise on AI/ML platform evaluation
Support platform decisions
Assess platform readiness
Evaluate vendor offerings
Evaluate reference architectures
Evaluate technical tradeoffs
Evaluate implementation approaches
Support development of technical documentation
Support development of architecture artifacts
Support development of white papers
Support development of decision briefings
Support development of executive summaries
Coordinate with program managers
Coordinate with engineers
Coordinate with mission stakeholders
Coordinate with cybersecurity teams
Coordinate with external partners
Identify integration risks
Identify technical gaps
Identify dependencies
Recommend mitigation strategies
Assist with transition planning
Educate stakeholders on AI platform concepts
Educate stakeholders on emerging patterns
Educate stakeholders on implementation best practices
How You'll Work.
Team & Collaboration
Government leadership; Technical teams; Program managers; Engineers; Mission stakeholders; Cybersecurity teams; External partners; Mixed audiences
Communication Scope
Written communication; Verbal communication; Technical documentation; Architecture artifacts; White papers; Decision briefings; Executive summaries; Translating technical issues
Full Job Description
## Description 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. ## 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 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 im
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