Generative AI Solutions Architect
Core
Design, build, deploy, and support secure, scalable enterprise solutions for generative AI applications, services, APIs, and workflows.
Role type
Generative AI Solutions Architect (hands-on IC)
Builds
GenAI-enabled applications, services, APIs, and reusable components for internal platforms and project teams
Domain
Enterprise Generative AI, Software Engineering, Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
GenAI application design, foundation model evaluation, RAG and agentic workflow integration, GPU compute management, technical documentation, cross-functional collaboration, solution trade-off analysis
Preferred skills
Open-source model deployment (e.g., Ollama, Qwen), responsible AI practices, observability guidance
Technologies
Python, APIs, containers, automated deployment, Ollama, Qwen
Responsibilities
Design and integrate model-driven workflows with prompting, RAG, and tool use; Provide early technical guidance on feasibility, architecture, and security; Develop reference designs, standards, and evaluation methodologies; Partner with engineering and security teams to ensure scalable solutions; Educate stakeholders on GenAI capabilities and risks; Report on AI initiative outcomes and platform gaps.
Seniority
Senior, hands-on IC