[Hiring] Engineering Architect @OpenTeams

Role Description

We’re seeking an Engineering Architect to own the end-to-end technical design of a secure AI test and evaluation platform supporting Government teams responsible for assessing AI systems before fielding. The program spans shared evaluation interfaces, dataset and model tooling, ML infrastructure, web services, and the packaging and delivery systems used to deploy capabilities into secure Government environments. This role ensures those components form a coherent, scalable, secure, and interoperable technical solution.

• Establish architecture standards and make build-versus-buy-versus-adopt decisions across the open-source landscape.
• Resolve cross-cutting technical decisions and guide the solution from initial concept through deployment and sustainment.
• Serve as a senior technical advisor to Government stakeholders and internal engineering teams.

Key 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.

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.

Nice to Have

• Demonstrated history architecting solutions for defense, intelligence, or federal defense initiatives.
• Working knowledge of modern public-sector software paradigms, including Platform One and defense DevSecOps frameworks.
• Proven track record engineering system infrastructure for air-gapped, isolated, or security-restricted networks.
• Background designing artificial intelligence validation infrastructure, data management tooling, and evaluation pipelines.
• Practical familiarity with Risk Management Framework protocols, authority to operate standards, and accredited system boundaries.
• Active engagement in open-source ecosystems through core maintainership, pull requests, technical blogging, or conference engagement.
• Direct experience leveraging the PyData and Scientific Python software stack.
• Proven capabilities in technical consulting, solution advisory, or client-facing architectural roles.
• Possessing a current or prior federal security clearance.

Benefits

• 100% employer paid medical premiums for employees.
• Self-managed PTO with a minimum time off requirement.
• Opportunities to collaborate with global experts and contribute to open source projects.
• Commitment to diversity, equity, inclusion, and belonging.