Startups Solutions Architect, Applied AI

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 Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping high-growth startups understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You'll be working with founders and engineering teams at some of Europe's fastest-moving AI-native companies—often where Claude is core to the product. This requires someone who understands the startup context: speed, resource constraints, and the need to ship.

Working closely with our Sales, Product, and Engineering teams, you'll guide startup customers from initial technical discovery and evaluation through to 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 a technical advisor to startup founders and engineering teams throughout their Claude adoption journey, from initial discovery and evaluation through to deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
• Support customers building with both the Claude API and Claude for Work
• Create and deliver compelling technical content tailored to different audiences, from technical deep dives for engineering and development teams to business value focused conversations with founders
• Guide technical architecture decisions and help startups integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel to startup offices and events across EMEA for workshops, technical deep dives, and relationship building (approximately 20-30% travel)
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 2+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience working with startups or high-growth companies
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including founders, engineering and technical teams, and beyond
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Comfortable with Python
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• 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

Nice to have:

• Experience as a founder or operator at a startup
• Hands-on experience building with LLMs, including personal projects or side work
• Experience building or designing cloud-native architectures
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Experience navigating fast-paced technical evaluations where speed and iteration matter

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

The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Annual Salary: £150,000—£160,000 GBP 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.

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.

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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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