Description review
Python Solutions Architect (GenAI)
Provectus · Serbia · back to the listing
HR standards
52/100
needs work
Title ↔ description
82/100
solid
Reads as
Software Architect
100% confident
What this role officially is
software architect — ESCO, the EU occupation classification
Software architects create the technical design and the functional model of a software system, based on functional specifications. They also design the architecture of the system or different modules and components related to the business' or customer requirements, technical platform, computer language or development environment.
Also known as: software architects, software designer, application architect
How others title the same work
Large employers
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- Senior/Staff/Principal Engineer Canonical Ltd.
- Senior Staff Software Engineer - Blockchain Platform Coinbase
- Solutions Architect, Scaled Operations AI Accelerator Team Meta
- Distinguished, Enterprise Architect Salesforce
Startups
- Staff Software Engineer Curri
What the listing never says
- 44 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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 infrastructure
• Already 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 you
• B2+ 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 budget
• Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
• Experience with cost estimation and cloud architecture cost optimization
Python, AI & Cloud
• 7+ years building and running production systems not only demos and POCs
• Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions
• Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
• Experience building RESTful APIs with FastAPI, Django REST, or Flask
• Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL
• Strong testing practices: pytest, mocking, and integration tests for AI systems
• Experience with Docker and Kubernetes
• Hands-on experience building production LLM-based applications and agentic workflows
• 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
• Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
• Experience with React/Vue
• AWS and Claude Code Certifications
Nice to Have
• Experience with Streamlit or Gradio for AI prototyping
• Modern 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 APIs
• Implement and optimize RAG systems for production use cases
• Design and build LLM-based and agentic AI solutions that address real client business challenges
• Own the technical direction of client engagements from discovery through delivery
• Support presales: discovery calls, technical proposals, scoping, and client-facing demos
• Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
• Mentor engineers, lead code reviews, and share knowledge across the team
• Build 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 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
Originally posted on Himalayas
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 infrastructure
• Already 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 you
• B2+ 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 budget
• Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
• Experience with cost estimation and cloud architecture cost optimization
Python, AI & Cloud
• 7+ years building and running production systems not only demos and POCs
• Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions
• Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
• Experience building RESTful APIs with FastAPI, Django REST, or Flask
• Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL
• Strong testing practices: pytest, mocking, and integration tests for AI systems
• Experience with Docker and Kubernetes
• Hands-on experience building production LLM-based applications and agentic workflows
• 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
• Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
• Experience with React/Vue
• AWS and Claude Code Certifications
Nice to Have
• Experience with Streamlit or Gradio for AI prototyping
• Modern 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 APIs
• Implement and optimize RAG systems for production use cases
• Design and build LLM-based and agentic AI solutions that address real client business challenges
• Own the technical direction of client engagements from discovery through delivery
• Support presales: discovery calls, technical proposals, scoping, and client-facing demos
• Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
• Mentor engineers, lead code reviews, and share knowledge across the team
• Build 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 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
Originally posted on Himalayas