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
We're looking for an Associate to join our Applied AI team in a rotational program designed to develop the next generation of technical leaders in AI. This role combines deep technical work with customer engagement, positioning you to transition into SA, Product Engineering, or other Applied AI functions after the program.
Over 6 months, you'll work across a variety of Applied AI segments and functions, gaining exposure to enterprise sales cycles, product development, and technical architecture while building solutions that directly impact how our customers deploy Claude.
As an Associate, you'll be a technical builder first: developing agents, creating Skills, designing internal assets, and working hands-on with Claude's SDK and API. You'll collaborate closely with Solutions Architects, Product Engineers, and Forward Deployed Engineers on complex customer problems while also partnering with Account Executives to support sales cycles.
Responsibilities
- Build production-ready agents, Skills, and solutions using Claude's SDK and API
- Develop scalable internal and customer-facing technical assets (code examples, architectures, integration patterns)
- Document and share best practices for LLM prompting, evaluation, agentic workflows, and architecture design
- Create demo environments and technical proof-of-concepts that showcase Claude's capabilities
- Conduct technical discovery calls to understand customer requirements and development workflows
- Help customers design scalable architectures and develop evaluation frameworks for their AI implementations
- Provide technical troubleshooting and implementation support during customer evaluations
- Work alongside Solutions Architects and Product Engineers on complex technical requirements in sales cycles
- Partner with Forward Deployed Engineers on post-deployment optimization and expansion opportunities
- Synthesize technical feedback from customer interactions to inform product roadmap
- Rotate through different Applied AI segments over the 6-month program, gaining exposure to various customer profiles and use cases
You may be a good fit if you have
- 0-2 years of software engineering, technical consulting, or solutions architecture experience
- Strong coding fundamentals with experience in Python, TypeScript/JavaScript, or similar languages
- Demonstrated ability to build functional applications, tools, or technical projects
- Experience with APIs, SDKs, and integration patterns
- Understanding of software development workflows, architecture patterns, and developer productivity tools
- 0-2 years of customer-facing technical experience (sales engineering, technical support, consulting, teaching, or similar)
- Comfort presenting technical concepts and adapting communication style for different audiences
- Strong problem-solving skills with ability to debug issues and troubleshoot technical challenges
- Self-starter mentality with bias toward action: you see problems and build solutions without waiting for direction
- Genuine enthusiasm for AI technology and eagerness to learn in a fast-paced environment
- Growth mindset with ability to take ownership of projects and drive them to completion
- Fluency in more than one language
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£115,000—£115,000 GBP
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.