Solutions Architect, Applied AI
Anthropic
Job Overview
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Job Description
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 Solutions Architect, Applied AI Role
We're looking for a Solutions Architect, Applied AI 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 a 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.
Logistics
- Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
- 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.
Key skills/competency
- AI Adoption
- Technical Advisory
- Relationship Building
- LLM Implementation
- Prompt Engineering
- Evaluation Frameworks
- Agent Frameworks
- Retrieval Frameworks
- Technical Content Creation
- Partner Enablement
How to Get Hired at Anthropic
- Research Anthropic's mission: Deeply understand their commitment to reliable, interpretable, and steerable AI.
- Tailor your resume: Highlight experience in AI deployment, technical advisory, and partnership with mission-driven organizations.
- Showcase LLM expertise: Emphasize prompt engineering, evaluation, agent, and retrieval framework knowledge for the Solutions Architect, Applied AI role.
- Prepare for technical deep dives: Be ready to discuss AI adoption challenges, solutions, and your approach to enablement.
- Demonstrate impact focus: Articulate how your skills align with Anthropic's goal of bringing AI benefits to communities.
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