Forward Deployed Engineer

ChapsVision Job OpportunityIn just a few years, ChapsVision has established itself as a leading European player in Big Data and Artificial Intelligence. Our ambition: to enable companies and public organizations to leverage their data in a sovereign, secure, and intelligent way.Since 2019:€380M raised from Bpifrance29+ acquisitions~1,200 employees+1,000 major enterprise clientsInternational presence: Canada, United States, Morocco, Belgium, Japan, Germany, …Member of French Tech Next40All of this is built on ArgonOS, our massive data processing platform, enhanced by Sinequa's RAG technologies.What Makes This Role DifferentA lot of forward-deployed roles give you a set playbook and a rotating list of accounts. This one is set up differently.You'll own a single flagship account from start to finish, building against real production data (drawings, specifications, parts, PLM) rather than demo environments. And because this is the deployment that shapes how we scale, what you work out here will become the blueprint for the next wave of strategic customers. The strongest parts of what you build can make their way into the core platform roadmap, so your field work reaches every customer we have.You'll have real ownership of the account, with the platform, the R&D relationships, and company resources behind you.What You Will Do• Embed with the customer: You'll be the main point where account strategy and technical delivery come together.• Translate in both directions: Turn business priorities into a delivery plan you can actually build, and turn platform capability into outcomes that work for the people using them.• Lead technical discovery: Run the architecture discussions, whiteboarding, and discovery needed to map a complex data ecosystem across PLM, drawings, specifications, and parts data spanning several business units.• Bridge PS and R&D: Sit between Professional Services delivery and core R&D. Carry escalation authority and roadmap visibility, and route what you find in the field into structured product feedback.Build Governed Agentic Workflows & Search Solutions• Ship production artifacts: Write clean, production-grade code for complex components like Model Context Protocol (MCP) servers, stateful sub-agents, and deterministic agent skills on our agent orchestration platform.• Model-agnostic design: Build workflows that use the right frontier LLM for the job (Claude, Gemini, GPT, or specialized open-source models), tuned for cost, context limits, and latency.• Optimize search at scale: Manage high-scale indexing and search pipelines for a user population in the tens of thousands. That means search-engine performance work, document chunking, and real-time relevancy tuning across a range of data silos, including the PLM-sourced technical content (for example, PTC Windchill) that sits at the core of this program.You May Be a Good Fit If You Have• Agentic platform depth: Hands-on experience with agentic platforms and agent orchestration matters most for this role.• A proven track record (8+ years): Time in a highly technical, customer-facing role such as Forward Deployed Engineer, Solutions Engineer, or client-facing Software Engineer. Former technical founders are also highly encouraged to apply.• Account-leadership range: You can run a strategic account relationship, not just close out tickets. You can talk governance risk with a Director in the morning and debug a retrieval pipeline with a developer in the afternoon, and hold your own in both rooms.• Production programming: Solid, production-grade proficiency in Python and C#, with working TypeScript for front-end integration, and clean, maintainable code. We value judgment, translation, and account leadership as much as raw coding speed.• Search & retrieval expertise: Deep, practical experience with enterprise search engines, relevancy tuning, and vector databases (for example, Elasticsearch, OpenSearch, Pinecone).Why Join Us• Real, measurable impact: You'll work on a program where our agentic platform already does better than the in-house tools it replaced, on data that general-purpose AI can't reach.• Real ownership: You'll own the technical relationship with a global manufacturing leader and have the room to decide how the work gets done, with the platform behind you.• A direct line to the platform: You'll work closely with our core Product and R&D teams, and what you learn in the field feeds into what we build next.• Hard, interesting work: Productionized agentic architectures, model-agnostic systems, and governed enterprise AI, at global scale.Diversity & InclusionChapsVision is committed to inclusion and pledges to consider all applications based on each individual's skills and qualifications. For the sake of clarity, gender-neutral writing is not used in this posting. The terms used refer equally to both feminine and masculine genders.