Applied AI, UK Startup Solutions Architect

Applied AI, UK Startup Solutions Architect

London, UK

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 the role

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.

Responsibilities:

• 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.
• Identify common integration patterns within the startup ecosystem and contribute insights back to our Product and Engineering teams.
• 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.

You may be a good fit if you have:

• 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
• Experience working with startup customers, understanding their unique challenges, rapid development cycles, and resource constraints.
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders in startup environments, from technical founders to engineering teams.
• Strong technical communication skills with the ability to create scalable content that reaches a broad audience of startups.
• Experience designing scalable cloud architectures that are cost-effective and can grow with startup needs.
• Comfortable working with Python and building demo applications.
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science.
• Experience facilitating technical workshops, hackathons, or developer-focused events.
• Ability to create compelling technical demos that showcase practical applications for startup use cases.
• A passion for the startup ecosystem and understanding of the unique challenges faced by early-stage companies.
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
• A love of teaching, mentoring, and helping others succeed in a high-velocity environment.
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to various technical levels.
• 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.

Deadline to apply:None. Applications will be reviewed on a rolling basis.

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.

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.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. 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. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. 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.

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