Python Solutions Architect – Generative AI

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 infrastructureAlready 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 youB2+ 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 budgetProduces scoped, phased delivery plans with clear deliverables, dependencies, and risksExperience with cost estimation and cloud architecture cost optimization Python, AI & Cloud 7+ years building and running production systems not only demos and POCsStrong understanding of AI/ML concepts and experience integrating AI/ML components into solutionsStrong Python proficiency: OOP, design patterns, clean architecture, and performance optimizationExperience building RESTful APIs with FastAPI, Django REST, or FlaskExperience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQLStrong testing practices: pytest, mocking, and integration tests for AI systemsExperience with Docker and KubernetesHands-on experience building production LLM-based applications and agentic workflowsExperience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)Experience building and optimizing RAG systemsUnderstanding of LLM evaluation techniques and quality assurance approachesExperience deploying and maintaining AI/ML models in production environmentsHands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP consideredExperience with React/VueAWS and Claude Code Certifications Nice to Have Experience with Streamlit or Gradio for AI prototypingModern Python tooling (ruff, uv, pyproject.toml, pyright)CI/CD pipeline experience (GitHub Actions, GitLab CI)Experience in an additional language (Go, Node.js, or Rust)Front-end experience What You’ll Do: Write clean, production-grade Python across AI integrations, backend services, and RESTful APIsImplement and optimize RAG systems for production use casesDesign and build LLM-based and agentic AI solutions that address real client business challengesOwn the technical direction of client engagements from discovery through deliverySupport presales: discovery calls, technical proposals, scoping, and client-facing demosLead architecture reviews, produce technical design documents, and contribute to standards across the Python practiceMentor engineers, lead code reviews, and share knowledge across the teamBuild and maintain strong relationships with key client stakeholders as a trusted technical advisor What We Offer: Opportunity to work with cutting-edge AI and cloud solutionsInternal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certificationsCareer growth: a clear path toward SA or beyond; we actively develop our engineersAccess to the latest AI tools and premium subscriptionsLong-term B2B collaborationRemote with flexible hoursPrivate medical insurance or a budget for your medical needsPaid sick leave, vacation, and public holidaysEquipment and all the tech you need for comfortable, productive work We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.