Python Solutions Architect (GenAI)

About The Role: Provectus is a global AI and cloud consulting company helping enterprises turn artificial intelligence and data into production-ready business solutions.

We specialize in designing, building, and scaling end-to-end AI/ML systems, data platforms, and cloud-native architectures , with strong expertise in AWS, MLOps, and enterprise-grade AI delivery.

We are an official Anthropic partner, working with cutting-edge foundation models to help organizations safely and effectively adopt advanced AI capabilities.

Our consulting teams operate across industries such as finance, healthcare, retail, and technology, delivering solutions with measurable business impact through hands-on engineering and advisory.

As a Solutions Architect, you will drive the development of GenAI-powered solutions , including AI agents, RAG systems, and Python services. You will provide technical leadership, own solution architecture, mentor engineers, and guide projects from discovery to production.

What You’ll Bring: Mindset Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure Already using AI tools in your daily workflow (Claude Code, Copilot, or similar) Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you B2+ English, comfortable collaborating across distributed, multicultural teams Presales & Client Engagement Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks Experience with cost estimation and cloud architecture cost optimization Python, AI & Cloud 7+ years building and running production systems not only demos and POCs Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions Strong Python proficiency: OOP,