Senior Solutions Architect | Python and GenAI

Responsibilities

• Embed with the client team for the length of the engagement, working inside their environment rather than alongside it from a distance
• Spend time with the people who do the job the system is meant to change before you design anything, so the architecture is grounded in how the work actually happens
• Write clean, production grade Python across AI integrations, backend services, and RESTful APIs (Flask, Django, or FastAPI)
• Design, build, and optimize RAG systems and agentic AI solutions running in production, not demos or notebooks
• Own system design and architectural decisions across the engagement: microservices vs monolith, sync vs event driven, SQL vs NoSQL
• Own the technical direction of the engagement from discovery through delivery
• Act as the client's direct technical point of contact: present architecture, defend trade offs, and push back on scope when it does not match timeline or budget
• Support presales activities where relevant, including discovery calls, technical proposals, scoping, and client facing demos
• Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
• Feed what you learn back into Provectus's blueprint library, so the next engagement starts further ahead

Languages