Machine Learning Solutions Architect

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. As a Startups Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping the EMEA Startup Community understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack and product. You'll combine your deep technical expertise with customer-facing skills to help customers understand the potential of working with LLMs and architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Partner with account executives to deeply understand startup requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to startup customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment as you coordinate internally across multiple teams & stakeholders to drive customer success Create and deliver compelling technical content tailored for startup audiences through scaled events including hackathons, webinars, and community workshops Develop and showcase demos that resonate with a wider startup audience to illustrate potential use cases and implementation strategies Guide technical architecture decisions and help startups integrate Claude effectively into their existing technology stack with consideration for their specific scale and resource constraints Help startups develop lightweight evaluation frameworks to measure Claude's performance for their specific use cases Foster community engagement through technical office hours, developer forums, and startup-focused events Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager ~ Strong technical communication skills with the ability to create scalable content that reaches a broad audience of startups ~ Comfortable working with python and building demo applications ~ Familiarity with common LLM frameworks and tools or a background in machine learning or data science ~ A love of teaching, mentoring, and helping others succeed in a high-velocity environment ~ Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: 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 think AI systems like the ones we're building have enormous social and ethical implications. We believe that the highest-impact AI research will be big science. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. indicates a required field Phone * Have you used Python to build tools, prototypes, or applications that integrate with LLM APIs? * Website AI Policy for Application * Select... While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? * Do you require visa sponsorship? * Please describe your experience working on any personal or professional projects that make use of large language models to create complex or interactive functionality. * Are you open to relocation for this role? * If you would need to relocate, please type relocating.