AI Platform Engineer

RSC2•Hanover, MD

18h•Onsite

About The Position

Founded in 2009, RSC2, Inc. is a Small Business Administration (SBA) Certified HUBZone Professional Services company headquartered in Baltimore, Maryland. RSC2 provides breakthrough expertise, support services, and technologies to make operations, programs and systems of record perform better. Our professional staff is trained to provide world-class services to all types of customers. We uphold the integrity and quality of our work so you can expect only the best from us. RSC2 is seeking an amazingly talented AI Platform Engineer to join our team in Hanover, MD!

Requirements

Active TS SCI w/Polygraph security clearance
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.

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.