Senior Solutions Architect – Python, GenAI

🕒 July 31

🌐 Serbia, Spain, +3 more countries – Remote

🇷🇸 Serbia – Remote 🇪🇸 Spain – Remote 🇵🇱 Poland – Remote 🇲🇰 North Macedonia – Remote 🇦🇲 Armenia – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Provectus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

📋 Description

• 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 • Mentor engineers, lead code reviews, and share knowledge across the team

🎯 Requirements

• 7+ years building and running production systems; hands on production experience is required, demo only or POC only backgrounds will not be considered • Production experience with RAG systems and LLM based agentic workflows that are live and running, not prototypes • Backend development experience with Flask, Django REST, or FastAPI • Recent, hands on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered • Experience with LLM APIs (OpenAI, Anthropic Claude, or AWS Bedrock) • Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization • Demonstrated experience making and defending system design and architectural trade off decisions • Comfortable owning direct communication with client stakeholders, without a project manager relaying the conversation • Genuine willingness to spend time close to the people who do the job before you design a system to change it, and comfort with an engagement that starts underspecified by design • Strong testing practices: pytest, mocking, and integration tests for AI systems • Experience with Docker and Kubernetes • Understanding of LLM evaluation techniques and quality assurance approaches • Experience deploying and maintaining AI/ML models in production environments • Already using AI assisted development 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 are handed to you • B2+ English, comfortable collaborating across distributed, multicultural teams

🏖️ Benefits

• Full ownership of production engagements, not a review and hand off role • Access to Provectus's blueprint library, built from every engagement we have shipped • Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications • Career growth: a clear path toward SA or beyond; we actively develop our engineers • Access to the latest AI tools and premium subscriptions • Long term B2B collaboration • Remote first within Europe, with flexible hours • Private medical insurance or a budget for your medical needs • Paid sick leave, vacation, and public holidays • Equipment and all the tech you need for comfortable, productive work