Solutions Architect, AI, Python/Data

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Provectus

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

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

• Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges • Implement and optimize RAG systems for production use cases • Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor. • Support presales: discovery calls, technical proposals, scoping, and client-facing demos • Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team • Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs • Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools. • Deploy ML and LLM-based solutions • Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking. • Lead architecture reviews, produce technical design documents, and contribute to standards • Mentor engineers, lead code reviews, and share knowledge across the team.

🎯 Requirements

• 7+ years building and running production systems — not only demos and POCs • Hands-on experience building production LLM-based applications and agentic workflows • Experience in integrating AI/ML components into solutions • Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock) • Experience building and optimizing RAG systems • Understanding of LLM evaluation techniques and quality assurance approaches • Experience deploying and maintaining AI/ML models in production environments • Python skills: OOP, design patterns, clean architecture, and performance optimization • Experience building RESTful APIs with FastAPI, Django REST, or Flask • Experience in making and defending architectural trade-off decisions • Experience with Docker and Kubernetes • Hands-on experience with AWS (Bedrock AgentCore, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered • Understanding of CI/CD practices applied to ML and AI pipelines • Familiarity with model monitoring, observability, and drift detection*. • AWS and Claude Code Certifications (Nice to Have) • CI/CD pipeline experience (GitHub Actions, GitLab CI) • Experience in an additional language (Go, Node.js, or Rust). • Hands-on experience with Apache Spark, Apache Airflow, Kafka

🏖️ Benefits

• Opportunity to work with cutting-edge AI and cloud solutions • - 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 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