Forward Deployed Engineer

In 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 Bpifrance

• 29 acquisitions

• 1200 employees

• 1000 major enterprise clients

• International presence: Canada United States Morocco Belgium Japan Germany

• Member of French Tech Next40

• An AI suite dedicated to businesses: CRM Marketing Automation Unified Commerce Analytics

• Sovereign solutions for strategic public sector players: defense intelligence cybersecurity

All of this is built on ArgonOS our massive data processing platform enhanced by Sinequas RAG technologies.

A lot of forward-deployed roles give you a set playbook and a rotating list of accounts. This one is set up differently.

Youll 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.

Youll have real ownership of the account with the platform the R&D relationships and company resources behind you.

Embed with the customer:
Youll 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.

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: Youll work on a program where our agentic platform already does better than the in-house tools it replaced on data that general-purpose AI cant reach.

Real ownership: Youll 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: Youll 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 & Inclusion

ChapsVision is committed to inclusion and pledges to consider all applications based on each individuals 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.