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OpenTeams

Senior Solutions Architect / Senior Solutions Engineer (Commercial)

Sorry, this job was removed at 06:22 p.m. (PST) on Wednesday, May 06, 2026
Remote
Hiring Remotely in U.S.
Remote
Hiring Remotely in U.S.

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Who We Are

We exist to unlock human potential.
Too often, AI drains it—drains budgets, drains energy resources, drains ownership of data. OpenTeams was founded to change that. We build AI that empowers. Our models are energy-efficient, cost-effective, and fully yours. 

Our ethos is open source. That means freedom, trust, and accountability are built into every line of code. We reinvest 3% of our profits back into the open-source community, because we believe tech is most powerful when it serves everyone.
At our core, we value freedom, teamwork, accountability, and uncompromising quality. If you want to challenge the status quo, and shape tools that set people free, OpenTeams is the place to do it.

About the Role

OpenTeams is seeking several highly experienced and visionary Senior Solution Architects and/or Senior Solution Engineers (Sales) to join our growing team. In this pivotal role, you will be a trusted partner with our general managers working directly with our clients and leading the ideation, design and/or implementation of complex, large-scale open-source AI solutions. You will leverage your expertise in AI/ML, data science, cloud/on-prem platforms, and open-source technologies to translate business requirements into technical architectures, guide development teams, and ensure successful project delivery. This role offers the unique opportunity to shape the future of AI adoption across diverse organizations and contribute to the vibrant open-source community.

What You’ll Do

Specific responsibilities will vary depending on experience and interest but will be drawn from the following areas:

  • Solution Leadership: Lead the end-to-end architectural design and technical strategy for complex open-source AI solutions, from initial concept to deployment and optimization.
  • Client Engagement: Act as a primary technical point of contact for clients, understanding their business challenges, identifying opportunities for AI innovation, and effectively communicating technical concepts to both technical and non-technical stakeholders.
  • Technical Advisory: Provide expert guidance and recommendations on open-source AI frameworks, libraries, tools, and platforms (e.g., PyTorch, JAX, Kubeflow, Ray, MCP and relevant open-source LLMs etc).
  • Architecture Definition: Develop comprehensive architectural blueprints, including data pipelines, model training and deployment strategies, MLOps practices, security considerations, and integration patterns.
  • Pre-Sales Support: Collaborate with the sales and business development teams to articulate OpenTeams' capabilities, present technical solutions, and contribute to proposals and statements of work.
  • Thought Leadership: Stay abreast of the latest advancements in open-source AI, contribute to technical blogs, whitepapers, and presentations, and represent OpenTeams at industry conferences and events.
  • Community Engagement: Actively participate in and contribute to relevant open-source projects and communities surrounding AI & ML.
  • Risk Management: Identify and mitigate technical risks throughout the project lifecycle.

What We’re Looking For

  • Open Source Expertise: Deep practical experience with a wide range of open-source AI frameworks, libraries, and tools with an emphasis on AI/ML 
  • Software Engineering: Strong background in software engineering principles, design patterns, and best practices. Proficiency in Python is essential.
  • Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts clearly to diverse audiences.
  • Problem-Solving: Proven ability to analyze complex technical problems, propose innovative solutions, and drive them to successful implementation.
  • Leadership: Strong leadership, mentoring, and interpersonal skills. Ability to work effectively with cross-functional teams.
  • Technical Experience: Deep technical expertise in at least one core area and sound understanding of several other areas: Numerical Computing, Distributed & High-Performance Computing, Infrastructure/Cloud, Data Science/Machine Learning, MLOps, Data Engineering, Generative AI, Agentic AI, LLMs etc.

Bonus Points

  • Significant contributions to open-source AI or Scientific Python/PyData ecosystem (e.g., code contributions, active maintainership, leadership roles).
  • Active participation and contributions to the Open Source communities (e.g., presenting at conferences, organizing meetups, contributing to libraries like PyTorch, NumPy etc).
  • Previous experience in a consulting role is highly desirable.
  • Prior experience working with government agencies or on government contracts.
  • Existing U.S. government security clearance or the willingness and ability to obtain one.

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

Why Join OpenTeams?

  • Impactful Work: Work on cutting-edge AI projects that solve real-world problems for a diverse range of clients while ensuring intelligence remains distributed and sovereign
  • Open Source Focus: Be at the forefront of open-source AI innovation and contribute to the community.
  • Collaborative Environment: Join a team of passionate and talented individuals who are dedicated to mutual success and continuous learning.
  • Growth Opportunities: Continuous learning and professional development opportunities in a rapidly evolving field.

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 means you’ll be trusted to boldly innovate, supported to learn fast, and celebrated for successful collaboration.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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