AI Forward Deployed Engineer - France

Hidden Jobs; United States; Remote; USD 115,000 - 207,000; Full time

Benefits offered by this job

Region-specific benefits

Remote work within France

Job summary

Databricks is seeking a hands-on GenAI engineer to design and deploy next-generation AI solutions for clients, blending research with practical delivery. You will lead production rollouts, advise on architecture, and collaborate across product and engineering teams to influence GenAI roadmaps, while traveling to meet customers as needed.

The role requires a strong data science background, experience with HuggingFace, LangChain, DSPy, and cloud ML deployments on AWS/Azure/GCP, and the ability to

Qualifications

• Hands-on experience building GenAI applications and production-grade ML systems.
• Strong background in data science using pandas, scikit-learn, and PyTorch.
• Experience deploying GenAI solutions on AWS, Azure, or GCP.

Responsibilities

• Design and build generative AI solutions using state-of-the-art techniques.
• Lead end-to-end production rollouts of GenAI apps for customers and internal use.
• Advise on architecture and implementation choices across customer domains.
• Represent work at industry conferences and contribute to thought leadership.
• Partner with product and engineering teams to influence roadmaps with field insights.

Skills

GenAI development

ML deployment

Cloud ML

Technical communication

Education

Graduate degree in quantitative field

Tools

HuggingFace

LangChain

DSPy

Job description

Role overview

Join a customer-facing AI engineering team that delivers professional services engagements, helping clients design and ship first-of-a-kind generative AI applications. The role blends hands‑on engineering with strategic consulting, working alongside product, engineering, and developer relations counterparts to shape long-term priorities across GenAI, LLMOps, and broader machine learning. You will report to the Senior Manager of AI Forward Deployed Engineering in EMEA, contributing a specialist skillset to an ensemble of practitioners, ideally based in or near Paris.

Responsibilities

• Design and build novel generative AI solutions that apply state-of-the‑art techniques from recent AI research to real customer problems.
• Lead end‑to‑end production rollouts of both customer‑facing and internal GenAI applications.
• Act as a trusted technical advisor across multiple customer domains, guiding architecture and implementation choices.
• Represent the work at major industry conferences and contribute to thought leadership both internally and externally.
• Partner with product and engineering teams to influence roadmap priorities based on field insights.

Requirements

• Hands‑on experience building GenAI applications such as retrieval‑augmented generation systems, multi‑agent workflows, Text2SQL pipelines, or fine‑tuned models.
• Familiarity with popular GenAI frameworks including HuggingFace, LangChain, and DSPy.
• Production deployment experience for generative AI, including evaluation pipelines and optimization strategies.
• Strong data science background using tools such as pandas, scikit‑learn, and PyTorch.
• Proven track record deploying production‑grade machine learning systems on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (computer science, engineering, statistics, operations research, or similar) or equivalent practical experience.
• Ability to explain complex technical concepts clearly to both technical and non‑technical audiences.

Nice to have

• Experience working with unified data and AI platforms and Apache Spark for large‑scale distributed datasets.
• Comfort with regular customer travel, roughly once every four to eight weeks.

Benefits and work setup

• Region‑specific benefits package, with details provided during the hiring process.
• Inclusive hiring practices and a stated commitment to equal opportunity.
• Remote work permitted within France, with Paris as the preferred location.