Solutions Architect (GenAI, Python/Data, AWS)

Provectus is seeking a highly skilled Solutions Architect to design and implement advanced cloud-native data, LLM-based, and agentic AI solutions. You will act as a trusted technical advisor, owning the technical direction of client engagements and delivering production-grade systems that solve complex business challenges.

Key responsibilities

• Design and build scalable cloud-native AI solutions and agentic workflows.
• Implement and optimize RAG systems for production environments.
• Write clean, production-grade Python code across AI integrations and backend services.
• Build and maintain strong relationships with key customer stakeholders.
• Ensure high-quality architectural trade-off decisions throughout the project lifecycle.

Requirements

• 7+ years of experience in building and running production-grade systems.
• Hands-on experience with LLM APIs such as OpenAI, Anthropic, or AWS Bedrock.
• Strong proficiency in Python, including OOP, design patterns, and clean architecture.
• Experience with RESTful APIs using FastAPI, Django REST, or Flask.
• Solid understanding of AWS cloud infrastructure, Docker, and Kubernetes.
• Knowledge of CI/CD practices, model monitoring, and observability.

What we offer

• Opportunity to work with cutting-edge AI and cloud technologies.
• Comprehensive internal training programs and support for professional certifications.
• Clear career growth paths and long-term B2B collaboration.
• Access to premium AI tools and necessary high-end equipment.
• Private medical insurance and paid time off including sick leave and holidays.