Startups Solutions Architect, Applied AI

Anthropic의 Startups Solutions Architect, Applied AI 직무 입사 지원서; Greater London; Hybrid; GBP 150,000 - 160,000; Full time

Job summary

A leading AI technology firm is seeking a Solutions Architect to join their Applied AI team. This role focuses on being a trusted technical advisor for startups, helping them integrate LLM solutions like Claude. The ideal candidate should have 5+ years of experience in technical roles, strong communication skills, and a passion for mentoring. The position offers a hybrid work environment and a competitive salary, ranging from £150,000 to £160,000 annually.

Qualifications

• 5 years of experience in technical customer-facing roles.
• Experience working with startups or high-growth companies.
• Exceptional ability to build relationships with diverse stakeholders.

Responsibilities

• Partner with account executives to understand startup requirements.
• Serve as a technical advisor throughout the adoption journey.
• Create and deliver compelling technical content for various audiences.

Skills

Technical communication

Relationship building

Problem-solving

Technical advising

Python

Education

Bachelor's degree in a related field

Job description

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 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.

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, coordinating 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.

Qualifications

• 5 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.

Compensation

Annual Salary: 150000 - 160000 GBP. The total compensation package for full‑time employees includes equity benefits and may include incentive compensation.

Logistics

Location: Hybrid policy requires staff to be in one of our offices at least 25% of the time, but some roles may require more time in our offices. Education requirements: at least a Bachelor's degree in a related field or equivalent experience.

Visa sponsorship

We sponsor visas and will make every reasonable effort to obtain a visa for selected candidates.

Application

Applications will be reviewed on a rolling basis. We encourage you to apply even if you do not meet every single qualification. Not all strong candidates will meet every qualification as listed.