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Solutions Architect (AI, Python/Data)

B2B · Job Posted July 04, 2026
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Job Responsibility

  • 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

  • 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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