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Forward Deployed Engineer - Fully Remote role

Apolis
  • 🇬🇧 United Kingdom | 🇺🇸 United States
  • Hybrid
  • 6 hours ago
  • $65 – $70 / hour
  • AI
  • MCP
  • Model Context Protocol
  • Databricks
  • Oracle
  • SQL
  • Maximo
  • SCADA
  • M365
  • Copilot
6 hours ago
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Looking for a Forward Deployed Engineer 
Need someone who can interview as early as Wednesday of next week.
100% remote
  • Must be aforward deployed engineer - we need someone who can take ownership of existing initiatives, develop solutions, and help get projects across the finish line
  • Needs to understand architecture, sustainability, scalability, and AI-enablement
  • MCP ((Model Context Protocol) related and Data Integration work is required
  • Very strongDatabricks Experience

Forward Deployed Engineer (Highest Immediate Need)
What they want:
  • Someone who can take ownership of existing initiatives, develop solutions, and help get projects across the finish line.
  • Strong Databricks / application development mindset.
  • Doesn't necessarily need to be a pure Data Engineer, but should understand architecture, sustainability, scalability, and AI-enablement.
Initial focus areas:
  • Outage Tool enhancements and scaling.
  • Additional Databricks applications.
  • MCP-related development and integration efforts.
  • Ensure solutions are sustainable beyond the current team.
Desired outcome:
  • Deliver quick wins before year-end.
  • Act as an extension of their team.
  • Establish foundations and architecture that support future AI initiatives.

MCP Evaluation & Best Practices
What they want:
  • Review their MCP strategy and architecture.
  • Validate design, governance, connectivity, answer quality, and overall approach.
  • Leverage industry best practices and lessons learned from similar implementations.
Desired outcome:
  • Independent assessment of MCP direction.
  • Recommendations for best practices.
  • Scalable framework for future AI-enabled solutions.

AI Strategy & Roadmap
What they want:
  • Strategic roadmap for AI across
  • Guidance on where platforms like Databricks should and should not be used.
  • Recommendations around AI architecture, governance, business logic, and knowledge management.
Current challenge: Information is spread across Oracle, SQL databases, Denodo, Maximo, PI, SCADA, PDFs, SharePoint, and shared drives. They want trusted, consistent AI answers regardless of whether users interact through M365 Copilot, GitHub Copilot, Genie, or future AI tools.
Desired outcome:
  • Prioritized roadmap for 2027.
  • Recommended architecture and governance model.
  • Clear understanding of near-term vs. long-term AI investments.
  • Trusted knowledge layer supporting future AI capabilities.

Forward Deployed Engineer - Fully Remote role · Apolis

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