Google Cloud / Databricks Forward Deployed Engineer in Wealth and Asset Management

Added
17 days ago
Type
Full time
Salary
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Related skills

bigquery python databricks rag langchain

πŸ“‹ Description

  • Act as a technical partner on-site or directly with clients to drive AI adoption.
  • Rapidly prototype to go from ideation to PoC / pilots.
  • Develop, debug, and deploy Generative AI applications (e.g., agentic workflows, RAG systems, MCP
  • Architect solutions that connect Google's AI products with customer legacy infrastructure, APIs
  • Solve complex blockers to production, including data readiness, model latency, and system

🎯 Requirements

  • 7+ years in a technical, customer-facing role (e.g., FDE, Solutions Engineer, SRE, Software
  • Strong proficiency in Python and experience with LLM orchestration frameworks (e.g., LangChain
  • Experience with API development, vector databases, and Retrieval-Augmented Generation (RAG).
  • Experience with Google Gemini Enterprise Platform and Google data services (e.g. Big Query etc.).
  • Experience with Databricks delta lake and other parts of the databricks data stack.
  • Experience with Agent building technologies (e.g. ADK, A2A, MCP etc.). Experience with Agent

🎁 Benefits

  • Annual Base Salary Range: $135,000 - $147,000, commensurate with experience and qualifications.
  • Annual performance based discretionary bonus.
  • 3 Medical plans, Dental and Vision.
  • Life, AD&D and other voluntary insurance.
  • 401K retirement plan with 4% matching and 100% vested upon enrollment.
  • Health Savings Account (HSA), Flexible Spending Account (FSA) – Health, Dependent Care, Commuter.
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