Senior Solution Architect (AI)

TL;DR

Senior Solution Architect (AI): Designing and scaling end-to-end data and AI architectures for enterprise transformation with an accent on cloud infrastructure, generative AI applications, and autonomous agents. Focus on translating complex business requirements into robust technical solutions, leading client engagements, and ensuring architectural alignment with security and compliance standards.

Location: Must be based in or able to work from Paris, France, with regular travel to client sites in the Paris area.

Company

hirify.global is a global management consulting group that combines strategy and management capabilities with data science and creativity to drive enterprise transformation.

What you will do

• Define and own end-to-end technical architecture for data and AI projects, including cloud infrastructure and ML model serving.
• Act as the primary technical point of contact for senior client stakeholders like CIOs and CISOs.
• Lead architecture reviews, design sessions, and technical governance to ensure project quality.
• Support pre-sales activities by contributing to technical scoping, proposals, and effort estimations.
• Oversee the full project lifecycle from advisory and prototyping to full-scale production deployment.
• Mentor junior consultants and contribute to internal IP and reference architectures.

Requirements

• Fluent in French and professional proficiency in English are required.
• Master's degree in computer science, engineering, or a related field.
• 4 to 7 years of experience in solution architecture, cloud architecture, or senior engineering roles.
• Deep expertise in at least two ecosystems: AWS, Azure, GCP, Databricks, OpenAI, Anthropic, or NVIDIA.
• Proven ability to engage with senior client stakeholders and translate business needs into technical solutions.
• Strong understanding of data and AI landscapes, including classical ML, deep learning, and generative AI.

Nice to have

• Hands-on coding ability in Python or Terraform.
• Experience with MLOps/LLMOps tooling and production pipelines.
• Professional-level cloud or data engineering certifications.
• Background in management consulting or client-facing delivery.
• Familiarity with AI compliance frameworks and responsible AI practices.

Culture & Benefits

• Staff-level role with high visibility and direct client impact.
• Clear career path with options to grow as an architect or into engineering management.
• Exposure to a wide variety of industries and complex business challenges.
• Collaborative, technically rigorous environment within the AI Platforms Business Unit.
• Continuous professional development through training programs and technology partnerships.