smartsheet
Sr. Forward Deployed AI Engineer (Remote Eligible in Germany)
At a Glance
- Location
- Munich, Delaware, United States
- Work Regime
- remote
- Posted
- 2026-05-01T08:31:28-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Finance
- Government
- Healthcare
- Regulatory
Requirements
Experience founding or scaling an FDE/solutions engineering function.
Databricks, AWS Bedrock, or Temporal experience.
Agent framework contributions (Strands SDK, LangChain, open-source MCP servers).
Familiarity of AI governance, ethics, and regulatory requirements (e.g.
Let’s build what’s next, together.
Responsibilities
Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
Own Deployment Kit quality for your pod.
If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
About the Company
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.