AI Solutions Engineer (Python & Architecture)

Job 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