Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль дает серьезную ответственность за архитектуру корпоративных AI-решений и заметное влияние, но сочетание клиентских проектов и пресейла делает ее менее сфокусированной, чем позиция архитектора без бизнес-развития.
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Работа на проектахАктуальные технологииПонятные задачиВарианты развития
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager - Solution Architect (AI) (AWS/Azure/GCP, Data and Generative AI): Defining and delivering scalable data and AI architectures for client engagements from proof-of-concept through production with an accent on cloud infrastructure, machine learning, generative AI, and autonomous agent systems. Focus on leading architecture governance, translating senior stakeholder requirements into secure and compliant solutions, and shaping technical proposals during pre-sales.
Location: 38 Rue du Sentier, 75002 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 designs, builds, and scales data and AI platforms for enterprise transformation.
What you will do
Define and own end-to-end technical architectures for data and AI projects, including cloud infrastructure, data pipelines, ML/DL model serving, generative AI applications, and agent-based systems.
Act as the primary technical contact for CIO, CISO, and engineering stakeholders, aligning solutions with business objectives, security policies, regulatory requirements, GDPR, and the EU AI Act.
Lead architecture reviews, design sessions, technical governance, and technical guidance for engineering teams.
Oversee projects from advisory and assessments through POC/MVP development and production deployment, ensuring scalability, reliability, observability, and cost optimization.
Support pre-sales through technical scoping, solution proposals, effort estimation, client presentations, and workshops.
Mentor junior consultants and engineers and contribute to internal IP, accelerators, reference architectures, and current technology practices.
Requirements
Master's degree in computer science, engineering, or a related field.
5–8 years of experience in solution architecture, cloud architecture, or a senior engineering role with significant design responsibilities.
Deep expertise in at least two of AWS, Microsoft Azure, Google Cloud Platform, Databricks, OpenAI, Anthropic, and NVIDIA.
Strong command of cloud architecture patterns covering networking, security, compute, storage, and managed AI/ML services.
Solid understanding of classical machine learning, deep learning, generative AI, autonomous agents, and data engineering.
Proven ability to engage with CIO, CISO, and VP Engineering stakeholders and translate business needs into technical solutions.
Excellent communication and presentation skills for technical and non-technical audiences, with strong problem-solving and architectural trade-off skills.
Fluent French and professional English.
Nice to have
Hands-on coding ability with Python, Terraform/IaC, or similar tools for prototyping and technical validation.
Experience with MLOps/LLMOps tooling and production deployment pipelines.
Professional certifications such as AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect, or Databricks Professional Data Engineer.
Experience in management consulting or client-facing delivery environments.
Familiarity with AI compliance frameworks and responsible AI practices.
Culture & Benefits
Staff-level role with high visibility and direct client impact.
Career path toward continued architectural growth or engineering management.
Exposure to diverse industries, technologies, and business challenges.
Collaborative and technically rigorous environment within the AI Platforms Business Unit.
Continuous development through training programs and technology partnerships.
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