Applied AI Engineer, Enterprise at Anthropic
May no longer be active — verify on the employer site
At a glance
- Company
- Anthropic
- Location
- United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Anthropic job
- 🏢 Anthropic has 53 jobs here, 36 with visa sponsorship see all
- 📊 9 AI Engineer jobs in the United Kingdom in the last 60 days see them
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask Anthropic if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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About the role
Responsibilities:
- Lead technical engagements with UK enterprise customers from first contact through technical evaluation, proof of value and procurement.
- Act as the customer's ongoing technical advisor on the Claude platform during deployment and early operation.
- Partner with Enterprise AEs and Applied AI Architects to define target architectures, success criteria and what good looks like.
- Advise engineering teams on system design, agent architecture, prompting, context engineering and evaluation frameworks.
- Translate technical capabilities into business value for C‑level and senior stakeholders; build and present measurable ROI cases.
- Produce technical resources, runbooks and evaluation suites; work with Product and Engineering to feed back customer insights.
- Support procurement, compliance and enterprise security conversations to enable safe, scalable deployments.
Requirements:
- Strong technical background (software engineering, solutions architecture or equivalent) with experience in pre‑sales or technical advisory roles.
- Hands‑on experience designing and deploying LLM‑powered applications: prompting, agent architectures, evaluation and scale considerations.
- Ability to present technical concepts and business value to engineering teams and C‑level stakeholders.
- Familiarity with enterprise security, data governance, compliance and cloud deployment patterns.
- Excellent stakeholder management, communication and project coordination skills across multi‑quarter engagements.
Responsibilities
You will act as a technical advisor to guide large UK enterprises through the deployment of Claude into their operations and products. This involves partnering with account executives to manage the full sales cycle, from technical evaluation and proof of value to architecture design and procurement.
Requirements
Candidates should have 6+ years of experience in software engineering or solutions architecture with a strong background in pre-sales and value-based selling. You must possess deep technical expertise in LLM-powered applications and the ability to communicate complex AI concepts to C-level executives.
Key skills
- AI architecture — in 3 other listings on The Stack
- Agent design — in 2 other listings on The Stack
- Value-based selling — in 2 other listings on The Stack
- Technical advisory — in 6 other listings on The Stack
- LLM-powered applications — not in any other listing on The Stack
- Prompting — in 7 other listings on The Stack
- Context engineering — in 12 other listings on The Stack
- Evaluation frameworks — in 13 other listings on The Stack
- Enterprise security
- Compliance
- Data governance
- UK GDPR
- Stakeholder management
- Pre-sales
- Cloud platform
On The Stack (as of 2026-11-03)
Frequently asked questions about Anthropic
Is this Applied AI Engineer, Enterprise role still open?
It was posted on 2026-09-28. Listings more than 30 days old may no longer be active, so check Anthropic's site before applying.
Does Anthropic offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Anthropic's site.
Where is this role located?
The listing gives the location as United Kingdom. It is marked on-site.
What skills does this role ask for?
The listing names: AI architecture, Agent design, Value-based selling, Technical advisory, LLM-powered applications, Prompting, Context engineering, Evaluation frameworks, Enterprise security, Compliance, Data governance, UK GDPR, Stakeholder management, Pre-sales, Cloud platform.