Jobs / Arsiem
AI Platform Engineer – Senior
Arsiem · Columbia, MD, United States
Columbia, MD, United StatesExp: 10-12 yrsHybrid
Remuneration
Not specified
Location
Columbia, MD, United States
Visa sponsorship
Not specified
Job summary
ARSIEM Corporation is seeking a Senior AI Platform Engineer to advise and support the design, integration, and maturation of AI-enabling infrastructure across mission-focused environments. This role involves working with cloud and enterprise ecosystems such as Microsoft Azure and Amazon Web Services (AWS) in secure government settings.
Qualifications
- Minimum 12 years of experience with a Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Minimum 10 years of experience with a Master's 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.
- 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.
- Active TS/SCI clearance with a polygraph.
- US citizenship.
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.
- 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 align platform efforts 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.
Skills
AWSAzureDockerKubernetes
Certifications
Cloud certificationsSystems engineering certificationsCybersecurity certificationsPlatform operations certifications
Degrees
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Information SystemsMaster's degree in Computer ScienceMaster's degree in EngineeringMaster's degree in Information Systems
Security clearance
TS/SCI with a polygraph
Relocation
No