AI Platform Engineer – Senior
About The Position
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 is for a technically strong engineer experienced in setting up, assessing, and guiding modern AI platforms in secure government settings, with a focus on cloud and enterprise ecosystems like Microsoft Azure and Amazon Web Services (AWS). The ideal candidate is technically capable, deeply curious, self-motivated, and passionate about AI, with a commitment to continuous learning and staying current with emerging tools and best practices. This position will support a government client in Columbia, Maryland.
Requirements
- 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.
- 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.
Nice To Haves
- 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.
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 implementation best practices in government environments.
Benefits
- Referral bonus program ($3,500 for referred candidates who are successfully placed and reach 6 months of employment).
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What This Job Offers
Job Type
Full-time
Career Level
Senior
