Python/GenAI Solutions Architect
Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Forrester's AI Technical Services Landscape, with 15+ years of experience and 400+ engineers. We build production AI for global enterprises in partnership with Anthropic, Cohere, and AWS.We are looking for a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience. Someone who ships Python services, RAG systems, tools, and agents daily, with AI embedded across their entire workflow.You might be an experienced SA ready to hit the ground running, or a Senior Engineer and Tech Lead ready to step into that role. Either way, you will own the technical vision, lead discovery, drive architecture decisions, and become the authority clients and teams rely on.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 advisorWhat You’ll Bring:MindsetFull-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 teamsPresales & Client EngagementOwns 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 optimizationPython, AI & Cloud7+ 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 CertificationsNice to HaveExperience 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 experienceWhat 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 subscriptionsRemote with flexible hoursUnlimited Vacation policyGenerous health, vision, and dental insurance401(K) matching planWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.