GenAI Architect

Zartis; Paris; À distance; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A digital solutions provider is seeking a GenAI Architect to build and deploy innovative AI platforms in the healthcare industry. This fully remote role requires strong expertise in Microsoft Azure and Python, focusing on robust, scalable systems. Join a diverse team committed to solving real business challenges through advanced technologies. The position offers significant career growth and comprehensive support for remote work.

Prestations

100% Remote Work

WFH allowance

Career Growth program

Tech training opportunities

Mentoring Program

Wellbeing Hub access

Multicultural working environment

Qualifications

• 10+ years of experience in software engineering, focusing on Python and backend development.
• Deep expertise with the Microsoft Azure ecosystem, especially Azure OpenAI and Azure AI Search.
• Proven experience in building and shipping RAG systems and LLM-powered pipelines.

Responsabilités

• Lead in building a next-generation AI platform.
• Implement multi-agent orchestration layer using advanced frameworks.
• Design and establish CI/CD pipelines for models and evaluation logic.

Connaissances

Software engineering

Python

Backend development

Microsoft Azure

CI/CD practices

Outils

Azure OpenAI

Azure AI Search

LangChain

LlamaIndex

Description du poste

The company and our mission:

Zartis is a digital solutions provider working across technology strategy, software engineering and product development.

We partner with firms across financial services, MedTech, media, logistics technology, renewable energy, EdTech, e-commerce, and more. Our engineering hubs in EMEA and LATAM are full of talented professionals delivering business success and digital improvement across application development, software architecture, CI/CD, business intelligence, QA automation, and new technology integrations.

We are looking for a GenAI Architect to work on a project in the healthcare industry.

The project:

Our teammates are talented individuals from a wide variety of backgrounds, and we’re committed to fostering an inclusive culture built on trust, ownership, and innovation. You will be part of a distributed team focused on developing cutting-edge technologies to solve real business problems in the Generative AI space, with a specific focus on building and deploying agentic, production-grade AI platforms.

We are seeking a highly skilled engineer with strong communication skills, a proactive mindset, and a track record of building systems from scratch. This role requires someone who is comfortable making architectural decisions, enjoys solving complex challenges, and pays close attention to detail.

What you will do:

As a Generative AI Architect, you will take the lead in building, deploying, and hardening a next-generation AI platform. Acting as the hands-on technical lead embedded within a product squad, your mission will be to translate architectural vision into robust, scalable, and secure production systems. You’ll drive progress across three key areas:

1. Robust Agentic Architecture & Implementation

- Design and implement the multi-agent orchestration layer using frameworks such as LangChain or LlamaIndex.

- Build and integrate advanced Retrieval-Augmented Generation (agentic, graph-based, custom, etc.) pipelines, leveraging Azure AI Search alongside vector and graph databases.

- Optimize systems for low-latency and high-throughput execution in real-world use cases.

2.End-to-End LLMOps & Production Readiness

- Own the design and implementation of CI/CD pipelines for prompts, models, and evaluation logic.

- Establish automated observability practices using tools like OpenTelemetry, including monitoring, logging, and alerting.

- Define and enforce SLOs, error budgets, and safe deployment/rollback mechanisms to ensure production stability and cost efficiency on Azure.

3. Security & Governance by Design

- Embed security and compliance at every stage of development:

- Implement least-privilege access, secrets management, and data classification controls.

- Generate audit-ready artifacts and ensure alignment with industry standards like SOC2 and ISO 27001.

What you will bring:

- 10+ years of experience in software engineering, with a strong focus on Python and backend development.

- Deep expertise with the Microsoft Azure ecosystem, especially Azure OpenAI and Azure AI Search.

- Proven experience in building and shipping RAG systems, LLM-powered pipelines, and agentic frameworks to production.

- Solid understanding of CI/CD practices, cloud-native architecture, and AI infrastructure operations.

Nice to have:

- Other orchestration or agentic AI frameworks such as LangGraph, CrewAI, or AutoGPT.

- Working with compliance-heavy environments or regulated industries.

- Optimizing prompt engineering workflows, evaluation metrics, or fine-tuning models.

- Designing cost-aware architectures for high-volume AI use cases.

- Knowledge of graph data science.

What we offer:

- 100%Remote Work

- WFH allowance: Monthly payment as financial support for remote working.

- Career Growth: We have established a career development program accessible for all employees with 360º feedback that will help us to guide you in your career progression.

- Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.

- Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.

- Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.

- Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.