At a Glance
- Tasks: Become a trusted advisor for enterprises integrating AI technology into their systems.
- Company: Join Anthropic, a leader in creating safe and beneficial AI systems.
- Benefits: Enjoy competitive pay, flexible hours, generous leave, and equity donation matching.
- Other info: Visa sponsorship available; dynamic environment with a focus on ethical AI development.
- Why this job: Make a real impact in the AI field while collaborating with diverse teams.
- Qualifications: 5+ years in technical roles, strong communication skills, and experience with cloud architectures.
The predicted salary is between 72000 - 88000 £ per year.
About 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 an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment.
- Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation.
- Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment.
- Coordinate internally across multiple teams & 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.
- Guide technical architecture decisions and help customers 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 occasionally to customer sites for workshops, technical deep dives, and relationship building.
- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.
You may be a good fit if you have:
- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
- Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders.
- Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams, and more.
- Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Comfortable with Python.
- Familiarity with common LLM frameworks and tools or a background in machine learning or data science.
- Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
- A love of teaching, mentoring, and helping others succeed.
- Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders.
- 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 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.
AI Architect (w/m/d) in London employer: Humanloop
Anthropic is an exceptional employer that prioritises the well-being and growth of its employees while fostering a collaborative and innovative work culture. With a focus on creating reliable AI systems, employees are encouraged to take ownership of their projects and contribute to meaningful advancements in technology. Located in a vibrant office space, the company offers competitive compensation, generous benefits, and flexible working hours, making it an ideal place for those looking to make a significant impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect (w/m/d) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Humanloop or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Humanloop.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Humanloop.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Humanloop that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Architect (w/m/d) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Humanloop.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Humanloop and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Humanloop
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Humanloop uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
