Full-Time

Technical Deployment Lead

Forward Deployed Engineering

Updated on 9/3/2026

Anthropic

Anthropic

5,001-10,000 employees

Develops reliable, interpretable AI systems

Compensation Overview

£165k - £230k/yr

London, UK

Hybrid

Staff must work from an office at least 25% of the time; customer-site travel of up to 25–50% is expected.

Bachelor's

Category
Solution Engineering (1)
Required Skills
LLM
Machine Learning

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Requirements
  • Experience leading artificial intelligence or machine learning engagements or deployments.
  • Experience delivering artificial intelligence, machine learning, or large language model-based agentic solutions into production, including understanding solution patterns, integration approaches, and failure modes in real environments.
  • Experience in a specialized vertical such as life sciences, pharmaceuticals, retail, mining, or agriculture.
  • Ability to navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, pressure-test technical decisions, and own the technical direction of engagements alongside Forward Deployed Engineers.
  • Track record delivering complex, high-stakes technical projects for enterprise clients, with outcomes dependent on tight coordination and fast decision-making across multiple workstreams, ideally in regulated industries.
  • Ability to represent the company credibly to senior leaders in high-stakes environments.
  • Bachelor’s degree or equivalent combination of education, training, and/or experience in a field relevant to the role as demonstrated through coursework, training, or professional experience.
Responsibilities
  • Own the technical delivery plan for each engagement, translating the signed statement of work into a sequenced roadmap with milestones, dependencies, success criteria, and value hypotheses.
  • Lead delivery discovery by mapping customer workflows and constraints, pressure-testing the scoped minimum viable product, and shaping the solution architecture with Forward Deployed Engineers.
  • Run day-to-day engineering execution across company and customer teams, keeping progress unblocked and sequenced and making real-time scope and priority trade-offs.
  • Own product scoping during delivery by authoring requirements, prioritizing the engineering backlog, managing scope against success criteria, and defining the quality bar for product users and enterprises.
  • Own the customer relationship throughout delivery, including executive briefings, stakeholder communications across technical leads and procurement, and representation of the company’s technical credibility.
  • Own value measurement and return on investment by defining impact hypotheses, setting baselines and key performance indicators, running pre- and post-deployment measurement, and reporting outcomes to executive sponsors.
  • Contribute reusable delivery patterns by capturing effective approaches from engagements and feeding field signal to program leads, product, and research teams.
  • Navigate enterprise and regulatory complexity, including security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
  • Manage scope and change by handling evolving requirements, setting expectations, negotiating contract modifications, identifying risks early, and escalating with clear context.
  • Run engagement-level delivery operations, including sprint ceremonies, milestone reviews, engagement reporting, and inputs to the team’s post-sales cadence and dashboards.
  • Travel to customer sites to build relationships, unblock delivery, and accelerate adoption.
Desired Qualifications
  • Experience leading artificial intelligence or machine learning engagements as a founder, data scientist, engineer, researcher, professional services practitioner, or consultant.
  • Experience delivering complex, high-stakes technical projects across multiple workstreams in regulated industries.
  • Experience in a specialized industry vertical such as life sciences, pharmaceuticals, retail, mining, or agriculture.

Anthropic focuses on AI research to build reliable, interpretable, and steerable AI systems. Its main product, Claude, is an AI assistant designed to handle tasks at any scale for clients across industries, delivered through deployment and licensing along with specialized AI R&D services. Claude works by combining natural language processing, human feedback, reinforcement learning, and interpretability techniques to produce a capable, controllable AI assistant that can assist with a wide range of tasks. The company differentiates itself from competitors by prioritizing safety, transparency, and controllability—emphasizing reliability, interpretability of model behavior, and user-controlled steerability in its AI systems. Anthropic’s goal is to make AI systems that people can trust and efficiently use to improve operations and decision-making across sectors.

Company Size

5,001-10,000

Company Stage

Debt Financing

Total Funding

$182.8B

Headquarters

San Francisco, California

Founded

2021

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Simplify Jobs

Simplify's Take

What believers are saying

  • Project Glasswing found over 10,000 critical vulnerabilities by June 2, 2026.
  • Anthropic disclosed annualized revenue above $65 billion in July 2026, signaling explosive demand.
  • September 1, 2026 pricing cuts for cache reads boost agentic API adoption and retention.

What critics are saying

  • Anthropic’s $1.5 billion copyright settlement, approved July 20, 2026, invites more suits.
  • Late-September 2026 IPO pressure exposes weak multiples if growth decelerates after listing.
  • Heavy compute commitments and chip-lease debt create existential financing risk if demand softens.

What makes Anthropic unique

  • Claude Security and Project Glasswing anchor Anthropic’s enterprise security moat in 2026.
  • Anthropic pairs frontier-model capability with explicit safety branding, unlike OpenAI’s consumer-first posture.
  • Multi-cloud distribution across AWS, Google, Microsoft, Lambda, and Nscale reduces single-vendor dependence.

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Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

7%

1 year growth

4%

2 year growth

2%
Yahoo Finance
Sep 9th, 2026
Broadcom eyes $40B Anthropic opportunity as Google chip risks weigh on stock

Broadcom could capture a $40 billion opportunity from Anthropic's growing compute needs, according to Macquarie analyst Arthur Lai. This comes as concerns mount over Google developing more chips internally, potentially threatening Broadcom's custom silicon business. The stock has fallen approximately 24% from its all-time high. However, Lai suggests many concerns may already be priced in, creating an attractive entry point. In April, Anthropic partnered with Google and Broadcom to secure next-generation TPU capacity for training its Claude AI models. Broadcom's AI semiconductor revenue surged 221% year-over-year to $16.7 billion in fiscal Q3 2026. Management projects AI semiconductor revenue could reach $115 billion in fiscal 2027 and potentially $230 billion in fiscal 2028. The Anthropic partnership could provide crucial revenue visibility whilst strengthening Broadcom's position in custom AI silicon and networking.

PR Newswire
Sep 8th, 2026
Black Duck joins Anthropic's Project Glasswing to secure critical software with AI

Black Duck has joined Anthropic's Project Glasswing, an industry initiative aimed at securing critical software infrastructure using advanced AI for defensive cybersecurity. The application security company will apply Mythos, Anthropic's AI system, across its full security portfolio. This will combine AI-accelerated vulnerability discovery with remediation workflows, risk-based prioritisation, and compliance-driven governance. "AI is transforming the economics and speed of vulnerability discovery and exploit development," said Dipto Chakravarty, Black Duck's Chief Product & Technology Officer. He explained that pairing Mythos with Black Duck's existing capabilities will enable faster risk reduction whilst maintaining the transparency and auditability required by enterprise security teams. Black Duck specialises in application security, combining deterministic analysis with AI reasoning to identify and fix security issues in code written by developers, generated by AI, or assembled from open source.

Yahoo Finance
Sep 8th, 2026
Goldman Sachs and Morgan Stanley push for OpenAI and Anthropic investment-grade ratings despite $20.9B losses

Goldman Sachs and Morgan Stanley have asked major credit rating agencies to grant investment-grade status to OpenAI and Anthropic upon going public, despite neither company turning a profit, the Financial Times reported. OpenAI posted a $20.9 billion operating loss on $13.1 billion revenue in 2025. Anthropic doesn't expect to break even until 2028, with OpenAI targeting 2030. The investment-grade designation would allow pension funds and insurers to buy their bonds. It would also terminate Nvidia's guarantee of up to $105 billion in lease obligations for OpenAI's Ohio campus. Rating analysts currently describe both labs as speculative-grade and loss-making. When SpaceX received investment-grade ratings after its June IPO, its bonds traded near junk pricing within days. Anthropic could list in late September, whilst OpenAI targets 2027.

Yahoo Finance
Sep 8th, 2026
Interactive Brokers earns interest on $182B of clients' idle cash — will Anthropic's IPO drain it?

Interactive Brokers held $182.4 billion in uninvested client cash at the end of June, up 27% year over year, and this figure grew to $185.6 billion by August. The automated global broker earns interest on this cash by investing it in short-term US government securities whilst paying clients a rate half a percentage point below the federal funds rate. Net interest income rose 23% year over year to $1.06 billion in the second quarter, representing more than half of total net revenues of $1.9 billion. The growth came from larger balances rather than margins, which actually narrowed to 1.93% from 2.07%. Anthropic's potential IPO, rumoured to arrive soon with a possible $2 trillion valuation, could provide clients with an opportunity to deploy some of this cash.

Yahoo Finance
Sep 7th, 2026
Anthropic signs $35B cloud deal with Lambda at Nvidia-leased Texas data centre

Anthropic has reportedly secured a $35 billion cloud deal with Lambda for 350 MW of capacity at Hut 8's Beacon Point campus in Texas, marking its ninth major compute corridor. The arrangement highlights Nvidia's dual role as both GPU supplier and data centre landlord, allowing it to extract value at multiple levels. The deal supports Anthropic's $65 billion annualised revenue run rate but deepens its reliance on Nvidia's ecosystem. Anthropic has diversified across nine corridors, including commitments to AWS (5GW), Google/Broadcom (5GW), Microsoft/Nvidia ($30 billion), Fluidstack ($50 billion), Nscale ($45 billion), Volta ($10 billion), AMD ($5 billion), and SpaceX (300MW). This infrastructure strategy reflects a shift where GPU suppliers increasingly control both hardware and physical environments, positioning themselves as compute landlords.