Applied AI Engineer, Anthropic
Enterprise
£225-255k
AI safety and research company
Be an early applicant
AI safety and research company
1001+ employees
Be an early applicant
£225-255k
1001+ employees
Company mission
To create reliable, interpretable, and steerable AI systems.
Role
Who you are
- 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder
- Pre-sales or technical advisory experience selling into large enterprises, ideally in the UK, including owning the technical win (evaluations, proofs of concept, due diligence with security, legal and procurement)
- Experience with value-based selling and presenting a business case to C-level and VP-level stakeholders
- Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
- Familiarity with enterprise security, compliance, and architecture requirements, ideally in regulated sectors
- The ability to explain complex AI concepts clearly to both technical and executive audiences, and a passion for making powerful technology safe and beneficial
- 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
What the job involves
- As an Applied AI Engineer on our Enterprise team, your role is to guide some of the UK's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working
- You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude
- Enterprise deals are different
- Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about
- You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement
- You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude
- Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build
- Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude
- Partner with Enterprise Account Executives and Applied AI Architects to take UK enterprise customers from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude
- Lead the technical side of each opportunity, then remain the customer's technical advisor on Claude as they deploy
- Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and advise the delivery team as the build progresses
- Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation
- Build and present the business value case for Claude to C-level and senior executives, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market
- Guide customers through long, multi-stakeholder procurement, including security and architecture reviews and a clear path to production, navigating security, compliance, data residency and governance requirements (including UK GDPR)
- Feed patterns from enterprise engagements back to Product, Engineering, and the wider Applied AI team, and travel to customer sites across the UK
Salary benchmarks
Our take
Funded by Google and founded by ex-OpenAI employees, Anthropic has emerged as one of the leading companies in AI, focused on building reliable and safe AI systems. Since its launch, the company has rapidly grown into a major player in the industry, with its AI assistant Claude now widely recognized as a strong competitor to ChatGPT.
Like other chatbots, Claude is accessible through a conversational interface and supports a wide range of text-generation and reasoning tasks. A key point of differentiation remains its emphasis on safety, with Anthropic's "Constitutional AI" approach aiming to produce more aligned and less harmful outputs than earlier generations of AI systems.
While Claude has received significant praise for its performance and alignment, some users have notes areas for improvement, particularly in technical domains such as complex mathematics and precision in grammar. However, with substantial backing freom major tech players and multi-billion-dollar funding rounds, Anthropic has firmly established itself as a long-term competitor in the AI space.
Now the company is continuing to refine Claude's capabilities while expanding globally, including growing its presence in Europe. And its ongoing commitment to responsible AI development put it in a position to be not just a competitor, but a key influence on the direction of the industry as a whole.
Freddie
Company Specialist at Welcome to the Jungle
Insights
190% employee growth in 12 months
Company
Funding (last 2 of 15 rounds)
May 2026
$65bn
SERIES H
Feb 2026
$30bn
SERIES G
Total funding: $124.3bn
Company benefits
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- 22 weeks of paid parental leave
- Flexible paid time off and absence policies
- Mental health support for you and your dependents
- Competitive salary and equity packages
- Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
- Retirement plans with competitive matching
- Life and income protection plans
- $500/month flexible wellness and time saver stipend
- Commuter benefits
- Annual education stipend
- Home office stipends
- Relocation support for those moving for Anthropic
- Daily meals and snacks in the office
Company HQ
SoMa, San Francisco, CA
Leadership
Dario Amodei
(Co-Founder & CEO)Prior to co-founding Anthropic in 2021, Dario spent almost 5 years at OpenAI as a Team Lead for AI safety and as the Vice President of Research. They also worked as a Research Scientist at Google.
Jared Kaplan
(Co-Founder & Chief Science Officer)Jared hs been a Professor at John Hopkins University since 2012. They are also an experienced Researcher having worked previously at OpenAI and the SLAC National Accelerator Laboratory.
Jack Clark
(Co-Founder)Jack is an experienced Reporter having worked previously at the Register and Bloomberg. They also worked for OpenAI in Strategy and Communications and as a Policy Director.
Sam McCandlish
(Co-Founder & CTO)Sam graduated from Stanford University with a PhD in Theoretical Physics. They previously worked as a Research Lead at OpenAI.
Tom Brown
(Co-Founder)Tom previously worked as a Member of the Technical Staff for both OpenAI and Google Brain.
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