Senior Solution Architect (AI)

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

Company

hirify.global is a global management consulting group whose AI Platforms Business Unit builds and scales data and AI platforms for enterprise transformation.

What you will do

• Define and own end-to-end architectures for data and AI projects, including cloud infrastructure, data pipelines, model serving, generative AI applications, and agent-based systems.
• Act as the primary technical contact for senior client stakeholders and align solutions with business objectives, security policies, GDPR, and the EU AI Act.
• Lead architecture reviews, design sessions, technical governance, and production-readiness work across scalability, reliability, observability, and cost optimization.
• Guide engineering teams, remove technical impediments, and oversee delivery from advisory and assessments through POC/MVP and production deployment.
• Support pre-sales through technical scoping, effort estimation, architecture proposals, client presentations, and workshops.
• Mentor consultants and engineers and contribute to internal intellectual property, accelerators, and reference architectures.

Requirements

• Master’s degree in computer science, engineering, or a related field.
• 4–7 years of experience in solution architecture, cloud architecture, or senior engineering with significant design responsibility.
• Deep expertise in at least two of AWS, Microsoft Azure, Google Cloud Platform, Databricks, OpenAI, Anthropic, or NVIDIA.
• Strong knowledge of cloud architecture patterns, data engineering, classical machine learning, deep learning, generative AI, and autonomous agents.
• Experience engaging CIO, CISO, and VP Engineering stakeholders and translating business requirements into technical solutions.
• Fluent French and professional English required.

Nice to have

• Hands-on coding with Python, Terraform/IaC, or similar tools.
• Experience with MLOps, LLMOps, and production deployment pipelines.
• Relevant professional cloud or data engineering certifications.
• Management consulting or client-facing delivery experience.
• Familiarity with AI compliance frameworks and responsible AI practices.

Culture & Benefits

• Staff-level individual contributor position with high visibility and direct client impact.
• Career path toward continued architectural growth or engineering management.
• Exposure to varied industries, technologies, and business challenges.
• Collaborative and technically rigorous environment within the AI Platforms Business Unit.
• Training programs and technology partnerships supporting continuous development.