About this role

Design architectures based on LLMs (e.g., LangChain, Ollama) in collaboration with development teams
Implement Retrieval-Augmented Generation (RAG) solutions using SaaS and on-premise vector stores
Develop and maintain containerized environments with Docker
Collaborate with development teams to ensure successful integration of solutions into the GenAI ecosystem
Ensure solutions are compatible with GenAI cloud offerings, notably Azure, AWS, and GCP
Provide technical support to development teams throughout the project lifecycle
Assume a career manager role for more junior team members

Background as a solutions architect, cloud architect, tech lead, lead developer, data/AI engineer, ML engineer, or technical consultant
Strong interest in generative AI and software architecture
Experience with LLMs, RAG, embeddings, vector stores, or AI agents
Solid cloud fundamentals, especially on Azure, AWS, or GCP
Comfortable with containerized environments, particularly Docker

Personalized onboarding when you join: certifications, mentoring, peer exchanges, and a gradual increase in responsibility
Access to recognized communities of architects, software engineers, cloud consultants, DevOps, Agile, and SRE professionals
An environment that encourages knowledge sharing, continuous learning, and collective innovation
A flexible working framework: remote work, seniority-based leave, parental leave, employee benefits (CSE), leisure activities, and work–life balance initiatives

Solutions Architect, GenAI

Key skills