Solution Architect – AI Platforms

About the role

Sia's AI Platforms business unit designs, builds and scales data and AI platforms, from cloud infrastructure and machine learning pipelines to generative AI applications and autonomous agents. It is looking for an experienced Solution Architect to act as the technical authority on client engagements, turning complex business requirements into scalable data and AI architectures across cloud, machine learning and generative AI. The role is staff-level, embedded part-time in cross-functional project teams, with a path toward engineering management.

Key responsibilities

• Own the end-to-end technical architecture for data and AI projects: cloud infrastructure, data pipelines, ML/DL model serving, generative AI applications and agent-based systems.
• Be the main technical contact for client stakeholders (CIO, CISO, engineering leads), aligning architecture with security, compliance and cost constraints (GDPR, EU AI Act).
• Lead architecture reviews, design sessions and technical governance forums, and remove impediments for engineering teams.
• Oversee the project lifecycle from advisory and assessments through POC/MVP to production deployment, ensuring scalability, reliability, observability and cost efficiency.
• Support pre-sales: scope solutions, estimate effort, build technical proposals, and present to clients.
• Mentor junior consultants and engineers, and contribute to internal IP, accelerators and reference architectures.

Required profile

• Master's degree in computer science, engineering or a related field.
• 5 to 8 years of experience in solution architecture, cloud architecture or a senior engineering role with significant design responsibilities.
• Proven ability to engage CIOs, CISOs and VP Engineering executives and explain technical solutions to non-technical audiences.
• Fluent in French; professional proficiency in English.

Required skills

• Deep expertise in at least two of: AWS, Microsoft Azure, Google Cloud Platform, Databricks, OpenAI, Anthropic, NVIDIA.
• Strong command of cloud architecture patterns (networking, security, compute, storage, managed AI/ML services).
• Solid understanding of classical ML, deep learning, generative AI, autonomous agents and data engineering.
• Nice to have: hands-on coding (Python, Terraform/IaC), MLOps/LLMOps tooling, professional cloud architect certifications, and management consulting experience.

What we offer

• A staff-level role with high visibility and direct client impact.
• A clear career path as an architect or into engineering management.
• Training programs and technology partnerships.
• Regular travel to client sites in the Paris area.