Forward Deployed Engineer - Emerging Enterprise & DNB

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 Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments. You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement. This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now. Responsibilities Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against. Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDE

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. As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products me

About the Team The Forward Deployed Engineering (FDE) team is a highly specialized, customer-facing software engineering team at Databricks. We work with Databricks most strategic customers to design, build, and productionize first-of-their-kind data and AI solutions. This team is the right fit for you if you love working side-by-side with customers, collaborating with teammates, and pushing your curiosity across the latest trends in data, applications, and AI innovation. Role Description As a Forward Deployed Engineer (FDE) , you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes. The impact you will have: Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Cross-Functional Collaboration: Partner with

Agents have changed the game for software delivery and efficacy. Diligent is the leading GRC platform in the world, and we are racing ahead to take the agents show on the road and work with the customers where they work . The FDE function will lead the change on how we embed AI agents into some of the world’s most complex governance, risk and compliance environments. This is not a support or consultancy role. It is a builder role, for someone who is equally comfortable reading a failing agent trace, running a discovery workshop with a bank’s internal audit team, and translating what they find into a production-grade agentic solution. You will be building AI agents for GRC professionals , not assistants that surface suggestions, but agents that own complex, multi-step workflows end to end . Agents that customers can hand a task to and trust it will come back done. Closing the gap between a promising prototype and something a company Board and ELT depends on is a completely . Here’s a breakdown of what you’ll do Embed directly with major enterprise customers (global banks, regulated corporates) across EU and US ; sitting wi th internal audit teams, risk functions, compliance and governance professionals to understand their real workflows and devise agentic solutions to intelligently automate them creating tremendous efficacy and efficiencies for our customers. Run agent-focused discovery workshops, rapidly prototype agentic solutions, and test them with practitioners; distinguishing between workflows that need an agent and those that need a button. Source, integrate, and move data between enterprise systems as part of live customer implementations — understanding the real data landscape customers operate in and building reliable pipelines to support it . Take agents from prototype t

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. POSITION DESCRIPTION This is not a traditional engineering role. As a Forward Deployed Engineer (FDE), you are at the critical intersection of our code, our clients, and their most critical missions. You will be deployed to our most strategic partners, embedding within their environments to solve high-stakes problems that have no textbook answers. You own the "last mile" of our product's impact , ensuring our technology fundamentally transforms how our users confront challenges such as financial crime, supply chain disruption, and threats to national security. You are equal parts engineer, strategist, and operator. One day you might be architecting a data pipeline within a client's cloud environment ; the next, you'll be writing production Python to integrate our API into a proprietary analytics platform ; and by the end of the week, you could be briefing a C-level executive, intelligence analyst, or mission director on the outcomes your work has enabled. You thrive on ambiguity, operate with extreme ownership, and are relentless in your pursuit of delivering real-world value. You will act as a vital conduit between the front lines and our core engineering teams, turning yo

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or com