Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it.
OpenTeams exists to make ownership possible.
Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves.
If that sounds like your kind of work, we'd like to meet you.
Location: U.S - Remote
Work Authorization: U.S. citizenship required
Clearance: An active clearance is not required at the time of hire. Candidates must be able to obtain and maintain a Secret security clearance, which includes a federal background investigation.
Salary Range: $145,000–$250,000 USD, dependent on experience level and location
About the RoleWe’re seeking a Senior 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.
You’ll establish architecture standards, 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. You’ll also serve as a senior technical advisor to Government stakeholders and internal engineering teams.
This is a fully remote, U.S.-based role working with a distributed team that relies heavily on asynchronous communication.
Key Responsibilities- Define and maintain the end-to-end system architecture, technical roadmap, and architectural principles for complex open-source AI solutions
- Develop and maintain interface specifications that ensure interoperability across platform services, evaluation tools, infrastructure, and external systems
- Evaluate open-source and commercial technologies and document the technical, operational, security, and sustainability tradeoffs behind adoption decisions
- Make and communicate build-versus-buy-versus-adopt recommendations
- Ensure system designs account for Government hosting, identity, security, accreditation, and interoperability requirements from the beginning
- Review engineering designs across teams and resolve cross-cutting architectural decisions
- Establish architecture standards, reusable patterns, technical guardrails, and design-review practices
- Represent the technical solution during Government design reviews, program milestones, and stakeholder discussions
- Translate mission, program, and security requirements into actionable technical direction for engineering teams
- Provide expert guidance on open-source AI frameworks and platforms such as PyTorch, JAX, Ray, Kubeflow, MCP, and open-weight large language models
- Identify, document, and mitigate technical risks throughout the project lifecycle
- Support proposal and delivery activities through architecture documentation, technical estimates, implementation plans, and statements of work
- Partner with infrastructure, platform, ML, data, security, and application engineers to ensure consistent implementation of the target architecture
- Guide the technical solution through deployment, operational validation, and sustainment
- Mentor engineers and technical leads while fostering clear technical decision-making across the program
- U.S. citizenship and ability to obtain and maintain a Secret security clearance
- 8+ years of professional software engineering experience
- 3+ years of demonstrated ownership of system or solution architecture
- Experience owning the design of distributed, cloud-native systems operating in production
- Broad technical experience across package management, CI/CD, ML infrastructure, data platforms, and web services
- Deep expertise in at least one of the following areas, with working knowledge across several: numerical computing, distributed or high-performance computing, cloud infrastructure, data science and machine learning, MLOps, data engineering, generative AI, or agentic AI
- Proficiency in Python and a strong understanding of software engineering principles, system design, and design patterns
- Experience defining system interfaces, integration patterns, architecture standards, and technical roadmaps
- Experience evaluating open-source and commercial technologies and documenting architectural tradeoffs
- Ability to identify and manage cross-cutting concerns involving security, scalability, reliability, interoperability, and maintainability
- Experience guiding technical work across multiple engineering teams or disciplines
- Strong written and verbal communication skills with technical and nontechnical audiences
- Ability to explain complex technical decisions, risks, and tradeoffs to customers, executives, and engineering teams
- Ability to work independently and collaborate effectively within a remote, distributed team
- Prior architecture experience supporting Department of Defense, Intelligence Community, or other federal programs
- Familiarity with the DoD Enterprise DevSecOps Reference Design, Platform One, or comparable Government platform patterns
- Experience designing systems for air-gapped, disconnected, or highly restricted environments
- Experience designing AI/ML test and evaluation platforms or related model, dataset, and evaluation tooling
- Experience with security authorization processes, Risk Management Framework requirements, or systems operating within accreditation boundaries
- Active participation in open-source communities through maintainership, code contributions, technical writing, conference presentations, or community organizing
- Experience within the Scientific Python or PyData ecosystem
- Experience in a consulting, customer-facing, or technical advisory role
- Active or previously held U.S. security clearance
What We Offer
- Medical, Dental & Vision – 100% paid for employees, 75% for dependents
- 401(k) Match – Up to 5% with full vesting after 2 years
- Unlimited PTO – With a required minimum of 15 days off annually
- Fully Remote Setup – Includes up to $3,000 equipment reimbursement
- Continuous Education – Includes up to $500 reimbursement
- Disability & Life Insurance – 100% employer-paid
- HSA & FSA Options – With monthly HSA contributions from OpenTeams
At OpenTeams, growth isn’t just about the company—it’s about you.
We believe the best careers are built at the edge of your potential. That is where new tools, ideas, and technologies change the world. Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. As your skills grow, our career framework provides a pathway and recognition of that increased impact.
Opportunities aren’t limited by geography. You’ll collaborate with global experts, contribute to open source projects that power the world’s technology, and stretch your skills daily. That global perspective and diversity makes our solution more universal and robust. We are committed to continuing to celebrate diversity on our team.
Supported people are successful people. We offer 100% employer paid medical premiums for employees and self-managed PTO with a minimum time off requirement, so that our teams are able to do their best work.
We invest in curiosity, creativity, and ownership. That means you’ll be trusted to boldly innovate, supported to learn fast, and celebrated for successful collaboration.
OpenTeams understands that valuing diverse creative practices and forms of knowledge is crucial to and enriches the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, disabled people, persons of all sexual orientations, gender identities and expressions.
We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. OpenTeams will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior, conduct, or purpose.
Skills Required
- U.S. citizenship
- Ability to obtain and maintain a Secret security clearance
- 8+ years of professional software engineering experience
- 3+ years of system or solution architecture ownership
- Experience owning distributed, cloud-native production systems
- Broad experience across package management, CI/CD, ML infrastructure, data platforms, and web services
- Deep expertise in at least one relevant area, including numerical computing, distributed or high-performance computing, cloud infrastructure, machine learning, MLOps, data engineering, generative AI, or agentic AI
- Proficiency in Python and strong understanding of software engineering principles, system design, and design patterns
- Experience defining system interfaces, integration patterns, architecture standards, and technical roadmaps
- Experience evaluating open-source and commercial technologies and documenting architectural tradeoffs
- Ability to manage security, scalability, reliability, interoperability, and maintainability concerns
- Experience guiding technical work across multiple engineering teams or disciplines
- Strong written and verbal communication skills with technical and nontechnical audiences
- Ability to explain technical decisions, risks, and tradeoffs to customers, executives, and engineering teams
- Ability to work independently and collaborate within a remote, distributed team
- Architecture experience supporting Department of Defense, Intelligence Community, or other federal programs
- Familiarity with the DoD Enterprise DevSecOps Reference Design, Platform One, or comparable Government platform patterns
- Experience designing systems for air-gapped, disconnected, or highly restricted environments
- Experience designing AI/ML test and evaluation platforms or related model, dataset, and evaluation tooling
- Experience with security authorization processes, Risk Management Framework requirements, or accredited systems
- Active participation in open-source communities
- Experience within the Scientific Python or PyData ecosystem
- Experience in consulting, customer-facing, or technical advisory roles
- Active or previously held U.S. security clearance
What We Do
OpenTeams is at the forefront of open source support, offering a wide range of practice areas led by a network of Open Source Architects. With over 680 open source technologies, our team provides comprehensive services including strategy and consulting, custom development, integration, migration, and 24/7 support. Our practice areas cover various domains, such as Machine Learning Operations, Cloud Optimization, Data Science and Engineering, SaaS and Cloud Applications, Artificial Intelligence and Machine Learning, PyTorch Hardware Optimization, PyTorch Artificial Intelligence System Building, and High-Performance Systems. Each solution is staffed by experienced professionals who assist businesses in addressing specific challenges and leveraging open source technologies to achieve their goals. OpenTeams is dedicated to helping clients build better software with reliable open source support.
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