Applied AI, Solutions Architect (Digital Native Business) London, UK About AnthropicAnthropic'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 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. You'll … Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them More ❯
Github Actions) and data pipelines powering AI-driven applications Deep knowledge of LLMs, fine-tuning, prompting, RAG and Agentic frameworks. Especially integration with the OpenAI API GPT, Gemini, LLama, Claude etc. Experience designing and implementing robust quality assurance/testing frameworks for AI performance Ability to collaborate with AI specialists, other AI software engineers, and product leaders to solve More ❯
IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g. More ❯
IAM, Secret Manager, Audit Logs Azure: Azure ML, Azure OpenAI, Key Vault, Azure Policy Experience with Self Hosting LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g. More ❯
comfortable taking ownership, accountability and responsibility Experience with the latest agentic frameworks ( e.g. langchain, llamaindex ) and protocols like MCP. Experience using AI-augmented ecosystem for development like Cursor, Windsurf, Claude Code. Based in the UK or Europe Nice to haves Knowledge of OAuth/API user credential handling Experience with 3rd-party API integrations Some front end experience using More ❯
Deep understanding of evaluation strategies and observability tools for assessing AI performance, reliability, robustness, cost, and overall effectiveness. Expertise with SOTA LLMs such as Gemini, GPT/o-series, Claude, Deepseek, Llama 4, etc. Experience with Google's Gemini/Gemma LLMs are preferred. Desirable: Experience prototyping user-facing interfaces using Python front-end frameworks such as Streamlit or More ❯
focuses taking multi-modal data and delivering verifiable outputs with transparent AI logic to ensure accuracy and compliance. V7 Go supports all of the latest models like GPT-4, Claude 3, and Gemini 1.5 for the best accuracy and performance. Watch the V7 Go keynote to see what we're building. The team you'll be joining and impact More ❯
similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based systems. Hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot for technical analysis, code generation and code review. Hands-on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (LangChain More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
CSS Experience working with both SQL and NoSQL (GraphDB, CosmosDB, Postgres, etc.) Familiarity with cloud development (ideally on Azure ) and containerised deployments Bonus: Exposure to LLM APIs (e.g. OpenAI, Claude), GenAI tooling, and AI product development Why This Team? You'll be joining a well-funded innovation group within a globally recognised organisation, where you'll have direct impact More ❯
and customer engagement Use AI-enhanced insights and LLMs to develop personalised, high-impact content across channels, ensuring relevance to target audience needs Leverage AI and LLMs (e.g., ChatGPT, Claude, Jasper) for content generation, producing ad copy, blog articles, and personalised email campaigns Develop innovative approaches to audience targeting and campaign execution using cutting-edge AI capabilities Manage SEO More ❯
what's working and what not. AI-First Tooling To ensure you stay at the cutting edge of AI-driven work, we provide: Perplexity Pro account ChatGPT Pro account Claude Pro account Quarterly budget for experimenting with new AI tools A culture that encourages AI experimentation and adoption We encourage our team to explore and integrate AI tools into More ❯
Alexander Mann Solutions - Public Sector Resourcing
on Assist - the UK Government's first live Generative AI product, used by over 750 civil servants daily. Assist enables government communicators to brainstorm, draft, and review content using Claude (Anthropic) via Amazon Bedrock, enhanced with Retrieval Augmented Generation (RAG), file upload capabilities, and role-specific prompts. This is a unique opportunity to contribute to a business-critical More ❯
and Unix/PowerShell scripting Experience with cloud computing platforms AI technologies such as AWS, GCP or Azure Experience in using LLMs such as Hugging Face ML models, GPT, Claude, etc Stay updated with the latest advancements in AI Technologies More ❯
and Azure Experience building full web applications (not just websites) Product-focused mindset with attention to UX and code quality Bonus: experience or interest in AI/LLMs (OpenAI, Claude, LangChain, etc.) Preferably from mid-large company environments Interview Process: 30-minute intro (including some technical Qs) Technical task (approx. 3-4 hours) Final interview with programme leadership If More ❯
scale machine learning models for performance and efficiency, leveraging best practices in AI engineering. Integrate using Microsoft Graph API or prebuilt plugins Requirements Strong experience with LLMs (OpenAI, Mistral, Claude, etc.) Built with tools like LangChain, OpenRouter, or function-calling agents Solid with Next.js, Node.js, or Python (we're flexible) Some experience (or curiosity) around regulated workflows and operational More ❯
infrastructure, preferably for ML/AI use cases with 1+ years working with LLM's. Proficiency with AWS data tooling and cloud-native services; experience with Amazon Bedrock or Claude integration is a plus. Experience with vector databases and embedding pipelines. Familiarity with or interest in graph-based data models and Graph RAG architectures is a strong plus. Working More ❯
delivery timelines. Your tasks will include: Integrate AI into the SDLC by automating key engineering processesincluding requirements gathering, design, coding, testing, and deploymentusing tools like OpenAI Codex, ChatGPT Enterprise, Claude, OpenRouter, and RAG-based systems. Streamline Dev Workflows by embedding LLMs and RAG pipelines into daily development operations for smarter, faster delivery. Drive DevOps Automation by partnering with DevOps More ❯
for writing code, demonstrated by launching your own tools or projects. Comfortable leading architecture and development in a Linux-based environment. Strong experience with AI-assisted coding tools (e.g., Claude, GitHub Copilot) and an enthusiasm for adopting new AI technologies. Ability to contribute significantly to architecture decisions and the product roadmap. A strong understanding of LLM-powered applications, including More ❯
Breadth of experience across infrastructure, backend and frontend technology stacks We use the latest Ruby on Rails, Turbo, Phlex, AlpineJS, TailwindCSS, AWS, PostgresSQL to name a few technologies. OpenAI & Claude for LLM interfacing We are not wedded to them and will rapidly evolve over the next 3-6 months with the right technologies Has worked in complex software systems More ❯
innovative environment, this could be the perfect fit for you. Responsibilities: Identify all engineering processes suitable for AI automation (requirements, design, coding, testing, deployment) Deploy OpenAI Codex, ChatGPT Enterprise, Claude, OpenRouter, and RAG-based toolchains into daily development workflows Collaborate with DevOps and Head of SaaS to automate onboarding, support, and configuration steps Partner with Internal Auditor to measure More ❯
ADK, etc ) Experience using Pydantic , and FastAPI Experience with SQL , DBT , and BigQuery Cloud infrastructure experience (preferably GCP) with Docker & Terraform Experience with AI development environments like Cursor, Windsurf, Claude Code TDD mindset and comfort with Agile/XP workflows (pairing, code reviews, CI) Nice to Have Exposure to multi-agent systems, memory, or RAG pipelines Develop and maintain More ❯
some of the worlds leading organisations. What Youll Be Doing Scaling the platform to handle large-scale, multi-modal data with state-of-the-art foundation models (GPT-4.1, Claude 4, Gemini 1.5, and beyond). Building a rich suite of APIs powering both internal systems and customer-facing products. Contributing to architectural decisions and improving developer workflows. Working More ❯
and Dev Leads for velocity, quality, and uptime Oversee hiring, promotions, performance reviews, and exits Triage incidents, drive accountability, and enforce postmortems Double output by embedding LLMs (Codex, ChatGPT, Claude, etc.) into the dev lifecycle Apply AI to requirements, design, coding, QA, CI/CD, and monitoring Optimize internal AI toolchains with platform team (OpenWebUI, RAG, etc.) Drive Salesforce More ❯
