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EPAM
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AI Solutions Engineer (Python & Architecture)

EPAMKazakhstan
Work model
Remote
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
10 tags

Technology context

10

Parsed from the vacancy text; ordered by relevance to this role.

AI AgentsAIMCPAI-Assisted DevelopmentPythonBackendDatabricksCI/CDAutomationAI Solution Engineering

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Role description

We are seeking an AI Solutions Engineer (Python & Architecture) to support technical enablement initiatives, bootcamps, and workshop delivery, helping accelerate developer adoption of SAP's Golden Path Agentic AI framework within CPIT.

Responsibilities

  • Facilitate technical bootcamps and hands-on enablement sessions
  • Deliver code-first learning experiences rather than slide-based training
  • Build demos, labs, and reusable enablement assets
  • Design workflows, automations, and solution bundles that accelerate adoption and improve enablement outcomes
  • Bridge the gap between building AI agents and shipping them to production
  • Support consultation efforts and self-paced learning offerings
  • Travel to deliver sessions onsite as needed

Requirements

  • 5+ years of experience in software development
  • 2+ years of experience working with LangGraph and MLflow
  • Intermediate to advanced proficiency in Python, including backend development
  • Intermediate experience with Databricks, CI/CD, MCP (Model Context Protocol), and A2A (Agent-to-Agent)
  • Intermediate to advanced skills in AI-assisted development tools such as Claude Code, Cline, and GitHub Copilot
  • Strong background in AI engineering and software development
  • Excellent technical storytelling and communication skills
  • Comfort facilitating hands-on workshops and bootcamps
  • Passion for learning emerging technologies and rapidly building expertise in new areas
  • English proficiency at B2 level or higher

Nice to have

  • Experience designing workflows and automation solutions that improve processes and enhance enablement offerings
  • Familiarity with Spec-Driven Development practices