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Xenon7

Forward Deployment Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listed

About the Job

Requirements

  • Five or more years of hands-on software development and full-stack AI application deployment.
  • Strong bias for action and comfort shipping rough prototypes quickly rather than waiting for polished specifications.
  • Ability to navigate ambiguous business problems without predefined specifications.
  • Ability to interface directly with senior business leaders.
  • Proficiency with Python, FastAPI or Flask, SQL, and user-interface frameworks such as Streamlit, Databricks Apps, or React.
  • Hands-on experience with Databricks Genie.
  • Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses.
  • Working knowledge of cloud platforms, preferably Azure, with AWS or Google Cloud Platform also acceptable; modern Git workflows; continuous integration and continuous delivery; and basic MLOps, including observability and versioning.
  • Foundational understanding of Finance processes including financial planning and analysis, order-to-cash, procure-to-pay, record-to-report, and close cycles, and metrics including operating expenses, EBITDA, gross margin, and working capital.

Responsibilities

  • Own the full lifecycle of AI solutions for Finance business units, from discovery with CFO stakeholders through production deployment, user adoption, and return-on-investment measurement.
  • Rapidly prototype user-facing applications using Streamlit, Databricks Apps, FastAPI or Flask, or lightweight React interfaces to gather user feedback.
  • Handle edge cases, data quirks, business-rule exceptions, and user training to turn prototypes into enterprise products.
  • Build production-grade vertical AI tools using Databricks Genie, including Genie Spaces and semantic models.
  • Build retrieval-augmented generation pipelines with advanced chunking, vector databases, retrieval evaluation, grounding, and citations.
  • Implement large language model orchestration frameworks and apply prompt engineering with hallucination and accuracy evaluation.
  • Deploy applications in regulated enterprise environments while complying with role-based access control, data residency, audit, and SOX and GxP requirements.
  • Connect solutions to governed datasets, semantic models, and enterprise platforms such as SAP, Workday, Coupa, and ERP systems through secure REST APIs.
  • Instrument deployed applications with usage metrics, telemetry, and business outcome tracking.
  • Work directly with senior Finance leaders to translate ambiguous operational problems into technical roadmaps.
  • Extract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets.

Desired Qualifications

  • Prior experience as a Forward Deployment Engineer, Solutions Engineer, or Field Engineer at AI or data companies.
  • Background in life sciences, pharmaceuticals, healthcare, or consumer packaged goods enterprise Finance.
  • Experience with enterprise Finance software such as SAP S/4HANA, Veeva, Workday Adaptive, or Oracle Financials.
  • Databricks certification or Azure AI Engineer Associate certification (AI-102).

About the Company

Xenon7

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