Solutions Architect, Applied AI (Beneficial Deployments)

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor. About the Role We're looking for a Solutions Architect to join Beneficial Deployments. This role combines technical expertise with deep relationship-building to help partners accelerate their impact through AI adoption and deployment. You'll be the primary technical advisor for partners across segments, driving engagements from discovery through deployment, and coordinating with segment leads and product engineers to deliver impact. Responsibilities Serve as the primary technical advisor to mission-driven organizations throughout their Claude adoption journey—partnering with segment leads to understand requirements and translating them into impactful solutions from discovery through deployment Transform partners into AI-native organizations through Claude Code enablement and internal business process evolution, to empower them to operate more effectively and build for where AI capabilities are headed Design and lead cohort-based accelerators to scale our expertise and impact to multiple organizations simultaneously Identify patterns across partners and segments to inform what we build at the ecosystem level—MCPs, evals, and other cross-partnership infrastructure Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Help shape team processes and culture as we scale from 1 to N You Might Be a Good Fit If You Have 3+ years in technical role, ideally with customer-facing exposure (Solutions Architect, Customer Engineer, Sales Engineer, Technical Account Manager, Product Engineer) Experience working in or building trust with education, healthcare, scientific research, nonprofit, or other mission-driven organizations, understanding their unique challenges and constraints Familiarity with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks A love of teaching, mentoring, and helping others succeed A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission The annual compensation range for this role is listed below.  For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will ide