AI Engineer (AI & GenAI) - Finance Domain

Worldwide | Oct. 22, 2026

Report as Closed

Company: Decathlontechnology

Country: Worldwide

Type: Onsite

Employment: Full-time

Description:

As part of the opening of a permanent position, we are recruiting an AI engineer, based either in Lille or Paris.

🚀 CONTEXT & STRATEGIC ISSUES

Within Decathlon Digital, the Finance Data team is undertaking a major initiative: transforming the finance professions through the integration of Generative and Agentic AI.

Faced with the fragmentation of analyzes performed by the FP&A function, our ambition is to build more standardized solutions with the support of AI. This involves implementing centralized and tool-agnostic intelligence layers, capable of interacting with our entire infrastructure (Workday, Data Lake, EPM, etc.) to evolve our interfaces from consultation logic to action logic.

In this context, we are developing financial performance debriefs generated by AI for all company activities. It helps our employees and managers instantly access reliable information on which they can make decisions.

Already successfully deployed in France, Spain, Italy and Belgium, this project is the first in a series to come.

To lead this project, we are not only looking for a developer, we need a "Builder": a person capable of translating a business need into a technical solution, implementing it, qualifying it, deploying it and maintaining it over time.

🎯 YOUR MISSION

We are looking for an experienced AI Engineer to actively participate in the industrialization and development of our AI solutions for management controllers. Your objective is clear: transform business needs into reliable, measurable and robust AI functionalities.

To meet this challenge, you will evolve within a dedicated collective, in direct collaboration with other AI Engineers and a Product Manager. This local organization will allow you to ensure perfect synergy between product issues, the roadmap and technical implementation.

🛠 YOUR RESPONSIBILITIES

1. Agentic Development & Features

• Participate in extending the capabilities of our agents towards write actions by notably implementing tool-calling protocols (MCP - Model Context Protocol) and inter-agent communications (A2A).
• Contribute to the optimization of costs, latency and overall system efficiency in conjunction with the Platform and Infrastructure teams.

1. Quality, Assessment & Observability (LLMOps)

• Develop and maintain the quality layer of our pipelines (Databricks / Vertex AI Search / Discovery Engine).
• Ensure grounding of responses and verification of citations to ensure traceability to a source of truth.
• Set up robust observability pipelines for online and offline evaluation (OpenTelemetry, MLflow, Langfuse).
• Code automatic evaluators to iterate calmly and prevent regressions before each release into production.
• Integrate guardrails to protect the system and users against hallucinations and errors.

1. Security, Partitioning & International Deployment

• Isolation & Multi-tenancy: Implement vector-based metadata filtering and partitioning strategies (indexes and/or models) to ensure perfect data sealing between Decathlon's different tax companies, legal entities and geographies.
• Multilingual Support: Contribute to the internationalization architecture of our solutions by adapting pipelines, embedding and inference to maintain a high level of performance and relevance across a wide diversity of languages.

1. Product & Business Impact

• Help analyze user intentions to measure the impact of our products
• Translate, with the support of the Product Manager, business challenges into model behaviors and success metrics.

🧠 PROFILE SEARCH

We are looking for a profile with at least a first experience. 

• Experience: Confirmed profile with several years of professional experience in a company (excluding internships and work-study programs) in AI Engineering, ML Engineering or AI-oriented Software Engineering. You also have at least one concrete and successful experience putting a GenAI or agentic system into production.
• Technical Stack: Solid mastery of Python, the GCP / Vertex AI + Databricks ecosystem, and orchestration frameworks (LangChain, LlamaIndex or Google ADK).
• LLM & Agentique Expertise : Solid mastery of RAG architectures (vector search, Vertex AI Vector Search, advanced metadata management), but above all of agentic technical concepts: function/tool-calling, reasoning loops (ReAct, etc.), orchestration of multi-agent workflows, structured output and context/memory management.
• Quality & Evaluation: Ability to diagnose an incorrect response (model, retrieval or data problem) and appetite for application observability (SQL / MLflow).
• Languages : Fluent French required & fluent professional English (international environment).

Pros:

• In-depth technical knowledge of A2A (Agent-to-Agent) and MCP protocols.
• Technical understanding of security issues (RBAC, ACLs, GDPR) applied to LLMs.
• Knowledge of microservices architectures and API design.

🎁 WHAT WE OFFER

• The opportunity to develop a cutting-edge agentic AI product with a direct impact on the daily lives of employees.
• A premium technological environment (Google Cloud Stack / Vertex AI / Databricks).
• A flexible teleworking policy (2 days per week remotely, the rest in our offices).
• A delivery culture focused on autonomy, collective intelligence and skills development (support from a Lead, certifications, training).
• Attractive benefits (monthly/quarterly bonuses, employee shareholding).

DECATHLON DIGITAL

Imagine if technology allowed us to push boundaries and offer new sporting experiences. This is precisely our ambition at Decathlon Digital! We are a team of more than 5,000 experts in software engineering, product management, data, cloud and cybersecurity, located in Paris, Lille and Amsterdam. Together, we are creating the largest digital sports platform, leveraging technological innovations to optimize the value chain, design connected experiences and give a second life to our products.

Let's change the situation for good. Our passion for sport guides us and we want it to continue. This is why we are committed to building a more sustainable technology model, reducing our direct impact on the environment, and creating a safe and inclusive space to learn and grow together. Join the team and shape the future of sport.

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