AI Solutions Architect

Project overview

Summary

We are looking for an AI Solutions Architect, with the primary objective of defining and validating enterprise-level AI solution architectures, ensuring alignment between business objectives and implementation constraints.

Responsibilities

Must Haves:

Nice to Haves:

• Define end-to-end architecture for AI, GenAI, Copilot, Agentic AI, and data-driven solutions.
• Ensure architectural oversight throughout the solution lifecycle, from requirements to implementation and operations.
• Review solution designs, technical specifications, and implementation approaches to ensure alignment with enterprise architecture standards.
• Perform architecture reviews and code reviews, ensuring quality, performance, security, scalability, and maintainability.
• Guide development teams on AI/ML frameworks, cloud-native architectures, APIs, integrations, and modern engineering best practices.
• Establish reference architectures, reusable design patterns, and development standards.
• Support technology selection, proof-of-concepts, and technical risk mitigation.
• Collaborate with business stakeholders, product owners, data scientists, and engineering teams to translate business requirements into technological solutions.
• Ensure compliance with security, governance, responsible AI, and data protection standards.
• 10+ years of experience in solution architecture, software engineering, or enterprise application development.
• 3+ years of experience in designing and delivering AI/GenAI solutions.
• Solid hands-on experience with Python, APIs, microservices, cloud-native applications, and modern software engineering practices.
• Experience with Azure AI, Azure OpenAI, Azure ML, Databricks, or equivalent platforms.
• Knowledge of RAG architectures, LLMs, vector databases, AI agents, and MLOps.
• Good understanding of CI/CD, DevSecOps, software quality, and design patterns.
• Proven experience in architecture governance, code reviews, and technical mentoring.
• Certifications in relevant fields (e.g., Azure Solutions Architect).
• Experience working in multi-tenant environments.
• Knowledge of DataOps practices.

Project details

• Duration: > 12 months
• Start Date: ASAP
• Remote Work: hybrid
• Start: flexible
• Remote: hybrid
• Location: Saint-Ouen-sur-Seine, France, FR
• Languages: French, English