ph3About Xenon7 /h3pWhere elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. /ph3Job Summary /h3pWe are seeking a high-caliber Forward Deployment Engineer (FDE) to sit at the intersection of enterprise AI platforms and executive Finance business functions for our Fortune 100 enterprise client. This role bridges advanced AI platform engineering with direct business impact—translating ambiguous financial challenges into working AI applications, deploying them into regulated client environments, and iterating in tight loops to drive measurable ROI. /ppRather than building static models or waiting for formal spec sheets, you will operate as a product-minded technical lead. You will prototype user-facing tools in days, deploy agentic and RAG workflows on top of enterprise data stacks (Snowflake Cortex, Databricks Genie), and ensure high adoption across FPA, Controllership, Treasury, and CFO leadership. /ph3Key Responsibilities /h3ulliOwn the full lifecycle of AI solutions for Finance business units—from initial discovery with CFO stakeholders to production deployment, user adoption, and ROI measurement. /liliRapidly prototype vertical applications using Streamlit, Databricks Apps, FastAPI/Flask, or lightweight React interfaces within 1–2 weeks to gather real user feedback. /liliHandle “last mile” execution: edge cases, data quirks, business rule exceptions, and user training to turn prototypes into sticky enterprise products. /li /ulh3Agentic Systems LLM Engineering /h3ulliBuild production-grade vertical AI tools leveraging Snowflake Cortex (Analyst/Search/Agents) or Databricks Genie (Genie Spaces, semantic models).



/liliConstruct robust RAG pipelines incorporating advanced chunking, vector databases (Pinecone, Chroma, FAISS, Azure AI Search, Cortex Search), retrieval evaluation, grounding, and citation. /liliImplement LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex) and apply rigorous prompt engineering with hallucination and accuracy evaluation discipline. /li /ulh3Enterprise Data Regulated Integration /h3ulliDeploy applications inside heavily regulated enterprise environments, adhering strictly to RBAC, data residency, audit, and compliance constraints (SOX, GxP). /liliConnect solutions to governed datasets, semantic models, and core enterprise platforms (SAP, Workday, Coupa, ERP) via secure REST APIs. /liliInstrument all deployed apps with usage metrics, telemetry, and business outcome tracking from day one. /li /ulh3Strategic Stakeholder Advisory Pattern Extraction /h3ulliWork directly with senior Finance leadership (CFO office, FPA, Controllership) to translate ambiguous operational friction into crisp technical roadmaps. /liliExtract reusable code components, prompt templates, evaluation harnesses, and retrieval patterns into shared enterprise assets for broader deployment. /li /ulh3Experience Mindset /h3ulliExperience: 5+ years of hands-on software development and full-stack AI application deployment. /liliProduct-Shaped Builder: Strong bias for action; comfortable shipping rough prototypes in Week 1 over polished spec documents in Week 4. /liliAmbiguity Tolerance: Proven ability to navigate vague business problems without predefined specifications. /liliStakeholder Communication:



Outstanding ability to interface directly with senior business leaders without requiring intermediary Business Analysts. /li /ulh3Must-Have Technical Stack /h3ulliLanguages Frameworks: Python, FastAPI/Flask, SQL, and UI frameworks (Streamlit, Databricks Apps, React). /liliAI Platforms: Direct hands-on experience with Snowflake Cortex OR Databricks Genie. /liliLLM Engineering: Production experience with LangChain, LangGraph, LlamaIndex, vector search engines, and prompt evaluation harnesses. /liliCloud DevOps: Deep working knowledge of Cloud platforms (Azure preferred, AWS/GCP acceptable), modern Git workflows, CI/CD, and basic MLOps awareness (observability, versioning via LangSmith, Datadog, etc.). /li /ulh3Domain Competency (Finance Focus) /h3ulliSolid foundational understanding of core Finance business processes (FPA, order-to-cash, procure-to-pay, record-to-report, close cycles) and common financial metrics (OPEX, EBITDA, gross margin, working capital). /li /ulh3Nice-to-Haves Certifications /h3ulliPrior FDE, Solutions Engineer, or Field Engineer experience at high-growth AI/Data companies (Palantir, Snowflake, Databricks, OpenAI, Anthropic). /liliIndustry background in Life Sciences, Pharma, Healthcare, or CPG enterprise Finance. /liliExperience with enterprise Finance software (SAP S/4HANA, Veeva, Workday Adaptive, Oracle Financials). /liliCertifications: Snowflake Cortex, Databricks Certified, or Azure AI Engineer Associate (AI-102). /li /ulh3What This Role Is NOT /h3ulliNot a pure Data Scientist or ML Researcher: You will not be training or fine-tuning foundation models from scratch; you are applying existing models to business problems. /liliNot a non-coding Architect: This is a 100% hands-on builder role. /liliNot a pure Backend or MLOps Engineer: You must be comfortable owning the user-facing interface and direct business interaction. /li /ul /p #J-18808-Ljbffr

📌 Forward Deployment Engineer (Montelibretti)
🏢 Xenon7
📍 Montelibretti