Remote Security AI Platform Architect

Openkrill; United States; Remote; USD 145,000 - 250,000; Full time

Benefits offered by this job

Employer-paid health premiums

Remote work

Job summary

OpenTeams seeks an Engineering Architect to own the end-to-end technical design of a secure AI test and evaluation platform for government teams. The program spans evaluation interfaces, tooling, ML infrastructure, and delivery systems for secure environments, ensuring a coherent, scalable solution.

You’ll establish architecture standards, guide build-versus-buy decisions, and lead cross-functional teams across ML infra, data pipelines, security, and software. U.S.

Qualifications

• Must hold U.S. citizenship and maintain eligibility for Secret clearance authorization.
• Eight or more years delivering enterprise‑grade software engineering solutions.
• At least three years leading end‑to‑end platform design and technical strategy.
• Proven track record building and deploying production distributed cloud architectures.
• Comprehensive mastery spanning CI/CD, modern package distribution, machine learning platforms, data pipelines, and API services.
• Specialized domain mastery in MLOps, generative AI, agentic systems, or cloud infrastructure, paired with practical familiarity across adjacent technical domains.
• Advanced Python proficiency complemented by rigorous knowledge of object‑oriented design, architectural patterns, and systemic software fundamentals.
• Demonstrated success establishing contract interface specifications, foundational engineering roadmaps, and org‑wide design standards.
• Experience conducting thorough technical evaluations and documenting strategic build‑versus‑buy trade‑offs.
• Adept at proactively resolving enterprise challenges involving system security, high availability, resilience, and operational scalability.
• History of steering cross‑functional initiatives across multi‑disciplinary engineering groups.
• Exceptional communication capabilities for articulating technical topics to both executive leadership and engineering peers.
• Skilled at translating complex technical choices, system risks, and structural trade‑offs for diverse public‑sector and executive audiences.
• Self‑directed contributor with a strong ability to drive outcomes within remote, decentralized team environments.

Responsibilities

• Architect and maintain comprehensive system blueprints, strategic technology roadmaps, and foundational design principles for sophisticated open-source artificial intelligence solutions.
• Design and govern interface standards to guarantee seamless integration between platform services, evaluation frameworks, underlying infrastructure, and third‑party systems.
• Assess emerging open-source and commercial technologies, thoroughly documenting trade‑offs regarding technical feasibility, operations, security posture, and long‑term viability.
• Deliver strategic recommendations on build, buy, or adopt decisions across the software portfolio.
• Incorporate public‑sector hosting, identity management, cybersecurity, compliance accreditation, and integration mandates into core system designs from project inception.
• Conduct cross‑functional engineering design reviews to resolve complex architectural dependencies and align team initiatives.
• Institute enterprise architecture standards, repeatable software patterns, security guardrails, and rigorous design review workflows.
• Serve as the primary technical advocate during public‑sector design reviews, program reviews, and strategic partner engagements.
• Convert high‑level mission goals, program objectives, and security policies into actionable technical tasks for development teams.
• Offer high‑level technical guidance on open‑source ecosystems including PyTorch, JAX, Ray, Kubeflow, MCP, and open‑weights foundation models.
• Pinpoint, formalize, and proactively neutralize technical risks across every stage of the software life cycle.
• Drive business development and proposal efforts by authoring technical architecture documentation, effort estimates, roadmaps, and statements of work.
• Collaborate with infrastructure, platform, machine learning, data engineering, security, and software teams to ensure unified implementation of target designs.
• Steer technical solutions from production deployment through operational testing, acceptance, and long‑term sustainment.
• Advise engineering staff and tech leads, driving decisive, structured engineering practices throughout the organization

Skills

Python

Cloud architecture

MLOps

Open-source

Security clearances

System design

Cross-functional leadership

Communication

Remote collaboration

Tools

CI/CD

ML platforms

APIs

Job description

OpenTeams seeks an Engineering Architect to own the end-to-end technical design of a secure AI test and evaluation platform for government teams. The program spans evaluation interfaces, tooling, ML infrastructure, and delivery systems for secure environments, ensuring a coherent, scalable solution.

You’ll establish architecture standards, guide build-versus-buy decisions, and lead cross-functional teams across ML infra, data pipelines, security, and software. U.S.