Platform Engineer - AI CI Poly Security Clearance

Position: Platform Engineer - AI - 12+ yrs exp - CI Poly with Security Clearance
Job Description Platform Engineer- AI - 12+ yrs of Experience - TS/SCI w/Poly clearance is required Halogen Engineering Group is looking for a talented SETA 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 practices—even 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.

Location:

Columbia, MD

Travel Required:

No

Shift: Day Remote Type:
Onsite Security Clearance:
Current TS/SCI Polygraph:
Required (Poly must be less than 7 years old) Salary Range The projected compensation range for this position is 235K-242K (annualized USD). Salary is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. Capabilities 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. Requirements Required Skills 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. Desired Skills

Experience with Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, Dev Sec Ops , Infrastructure as…