Senior Engineering Architect

Who We Are

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.

Senior Engineering Architect

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 Role

We’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

Required Skills & Experience

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

Nice to Have

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

Grow With Us

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