Solutions Architect (AI, Python/Data)

Solutions Architect (AI, Python/Data)
Company: Provectus
Location: Yerevan / Belgrade / Novi Sad, Vojvodina / Tbilisi
Type: Full-time

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What You’ll Do:

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Design and build cloud-native data, LLM-based, and agentic AI solutions addressing real client business challenges

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Implement and optimize RAG systems for production use cases

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Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.

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Support presales: discovery calls, technical proposals, scoping, and client-facing demos

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Own the technical direction of client engagements from discovery through delivery — the go-to authority for clients and the internal team

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Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs

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Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools.

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Deploy ML and LLM-based solutions

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Implement MLOps, LLMOps, and AgentOps practices: CI/CD, automated testing, model monitoring, and experiment tracking.

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Lead architecture reviews, produce technical design documents, and contribute to standards

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Mentor engineers, lead code reviews, and share knowledge across the team.

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

AI & Python/ Data & Cloud

• 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.

Nice to Have

• AWS and Claude Code Certifications

• 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, Kafkа

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

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