Senior Solution Architect (AI)

TL;DR

Senior Solution Architect (AI): Designing and scaling end-to-end data and AI architectures for enterprise clients with an accent on cloud infrastructure, generative AI, and ML pipelines. Focus on translating complex business requirements into production-ready solutions and leading technical governance for senior stakeholders.

Location: Paris, France (with regular travel to client sites in the Paris area)

Company

hirify.global is a global management consulting group specializing in digital transformation and the delivery of scalable AI platforms.

What you will do

• Define and own end-to-end technical architecture for data and AI projects, covering cloud infrastructure, ML/DL model serving, and generative AI agents.
• Act as the primary technical lead for senior stakeholders (CIO, CISO), aligning architectural decisions with security and regulatory requirements.
• Lead architecture reviews and design sessions to ensure coherence and quality across project workstreams.
• Oversee the full project lifecycle from initial prototyping (POC/MVP) to full-scale production deployment.
• Support business development through technical scoping, effort estimation, and the creation of architecture proposals.
• Mentor junior consultants and contribute to the development of internal reference architectures and IP.

Requirements

• Master's degree in computer science, engineering, or a related field.
• 4 to 7 years of experience in solution architecture, cloud architecture, or a senior engineering role.
• Deep expertise in at least two ecosystems: AWS, Azure, GCP, Databricks, OpenAI, Anthropic, or NVIDIA.
• Strong command of cloud architecture patterns and the data/AI landscape (Classical ML, GenAI, Autonomous Agents).
• Fluent in French and professional proficiency in English.
• Must be based in Paris, France, and available for regular travel to client sites.

Nice to have

• Hands-on coding ability in Python and Terraform/IaC for prototyping.
• Experience with MLOps/LLMOps tooling and production pipelines.
• Professional certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert).
• Experience in management consulting or client-facing delivery environments.

Culture & Benefits

• Staff-level individual contributor role with high visibility and direct client impact.
• Clear career trajectory with options to grow as an architect or transition into engineering management.
• Exposure to a diverse range of industries, technologies, and complex business challenges.
• Collaborative, technically rigorous environment within the AI Platforms Business Unit.
• Investment in continuous development through dedicated training programs and technology partnerships.