Senior Solution Architect Engineer positions focus on delivering results in their domain. This page aggregates open Senior Solution Architect Engineer roles and what employers typically expect.
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. 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, ML…