Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to create innovative AI solutions for top enterprises.
- Company: Join Anthropic, a mission-driven company focused on safe and beneficial AI.
- Benefits: Enjoy competitive pay, flexible hours, generous leave, and a collaborative office environment.
- Why this job: Be part of a cutting-edge team shaping the future of AI technology.
- Qualifications: 7+ years in tech roles, with strong communication and leadership skills.
- Other info: Visa sponsorship available; diverse candidates encouraged to apply.
The predicted salary is between 160000 - 215000 £ per year.
Manager of Solutions Architecture, Applied AI
Join or sign in to find your next job
Join to apply for the Manager of Solutions Architecture, Applied AI role at Anthropic
Manager of Solutions Architecture, Applied AI
Join to apply for the Manager of Solutions Architecture, Applied AI role at Anthropic
Get AI-powered advice on this job and more exclusive features.
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 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 manager of the Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by developing bespoke LLM solutions for top Industry Enterprises. You’ll leverage your technical skills and consultative sales experience to architect innovative solutions that address our customers\’ business needs, meet their technical requirements, and provide a high degree of reliability and safety. You’ll be responsible for leading & growing the Applied AI Enterprise Industries team, establish processes and best practices for your segment’s client engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships.
In collaboration with the Sales, Product, and Engineering teams, you’ll help enterprise partners incorporate leading-edge AI systems into their robust end-to-end systems. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
Responsibilities
- Manage and mentor a team of Applied AI, Solutions Architects, providing both technical guidance and career development
- Set goals and reviews for your team, promoting growth and output
- Work with a handful of highest-value Digital Native enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
- Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Digital Native enterprise customers
- Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
- Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
- Travel occasionally to customer sites for executive-level sessions, technical workshops, and building relationships
- Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
- Lead the vision, strategy, and execution of innovative solutions that leverage our latest models\’ capabilities for tech-forward use cases
- Contribute to thought leadership through conference presentations, webinars, and technical content creation
- Stay current with emerging AI/ML trends and competitive landscape in the enterprise tech sector
You May Be a Good Fit If You Have
- 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
- 3+ years of technical go-to-market management experience, specifically managing pre-sales teams
- Have experience working with and selling to Digital Native focused customers (Vertical Enterprise SaaS, Horizontal Enterprise SaaS, Consumer Technology Companies, PaaS, etc.)
- Experience with the unique technical requirements and technical procurement process of enterprise tech companies
- Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
- Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
- Have excellent communication, collaboration, and coaching abilities
- Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
- Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
- Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
- Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
- Make ambiguous problems clear and identify core principles that can translate across scenarios
- Have a passion for making powerful technology safe and societally beneficial
- Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
- Stay up-to-date and informed by taking an active interest in emerging research and industry trends
- Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Annual Salary
The expected salary range for this position is:
£160,000 – £215,000 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
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
Research Services
Referrals increase your chances of interviewing at Anthropic by 2x
Get notified about new Manager Solutions Architecture jobs in Greater London, England, United Kingdom.
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 month ago
Uxbridge, England, United Kingdom 2 days ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 4 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 4 hours ago
Engineering Manager – London Marriott Hotel Kensington
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 2 months ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 22 hours ago
Greater London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 months ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 2 weeks ago
Erith, England, United Kingdom 2 weeks ago
Engineering Manager, International Public Sector
London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 months ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Manager of Solutions Architecture, Applied AI employer: Anthropic
Contact Detail:
Anthropic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Manager of Solutions Architecture, Applied AI
✨Tip Number 1
Familiarise yourself with Anthropic's mission and values. Understanding their focus on reliable, interpretable, and steerable AI systems will help you align your discussions and demonstrate how your experience can contribute to their goals.
✨Tip Number 2
Network with current or former employees of Anthropic. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific examples of your experience in managing pre-sales technical teams and enterprise AI deployments. Be ready to articulate how you've driven successful outcomes in similar roles.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning. Being knowledgeable about emerging technologies and industry developments will allow you to engage in meaningful conversations and showcase your expertise.
We think you need these skills to ace Manager of Solutions Architecture, Applied AI
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Manager of Solutions Architecture, Applied AI role. Understand the key responsibilities and required skills, such as experience in pre-sales technical roles and familiarity with enterprise AI deployments.
Tailor Your CV: Customise your CV to highlight relevant experience that aligns with the job requirements. Emphasise your technical skills, leadership experience, and any previous work with Digital Native enterprise customers to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of Anthropic's mission. Use specific examples from your past experiences to demonstrate how you can contribute to the team and drive the adoption of AI solutions.
Showcase Communication Skills: Since excellent communication is crucial for this role, ensure your application reflects your ability to convey complex ideas clearly. Consider including examples of how you've successfully communicated technical concepts to both technical and non-technical audiences in the past.
How to prepare for a job interview at Anthropic
✨Showcase Your Technical Expertise
As a Manager of Solutions Architecture, it's crucial to demonstrate your deep understanding of AI technologies and their applications. Be prepared to discuss specific projects where you've successfully implemented AI solutions, particularly in enterprise settings.
✨Communicate Clearly and Effectively
Given the role's requirement to explain complex solutions to both technical and non-technical audiences, practice articulating your ideas clearly. Use examples from your past experiences to illustrate how you’ve communicated technical concepts successfully.
✨Demonstrate Leadership Skills
Highlight your experience in managing teams and mentoring individuals. Discuss how you've set goals, promoted growth, and fostered collaboration within your team, as these are key aspects of the role at Anthropic.
✨Stay Current with Industry Trends
Be ready to discuss recent developments in AI and machine learning, especially those relevant to enterprise tech. Showing that you are informed about the latest trends will demonstrate your commitment to innovation and thought leadership in the field.
