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Senior Forward Deployed Engineer - Finance AI Enablement

Omada Health · San Francisco, CA · 2 days ago
RemoteRemoteEngineering$143k–$178k/yrFull-time

About the role

The Sr. Forward Deployed Engineer supporting Finance will operate as the embedded AI engineering partner for the Finance organization, attending key planning, close cycle, forecasting, operational review, and executive preparation processes to deeply understand Finance's workflows and build production AI systems that drive measurable business impact.

Responsibilities

  • Design and build the Finance-specific AI integration layer that connects AI systems to enterprise finance platforms, operational data, and institutional knowledge sources.

  • Integrate AI systems with platforms like NetSuite, Adaptive Planning, FloQast, AWS, and internal data warehouses.

  • Build retrieval and knowledge systems over financial documentation, board materials, KPI definitions, investor communications, and forecasting models.

  • Develop reusable AI workflow and orchestration patterns for Finance use cases.

  • Enable conversational and natural-language interaction with operational and financial data.

  • Partner with central Engineering and AI platform teams to adopt and extend shared AI infrastructure patterns.

  • Design systems that allow Finance teams to progressively own configuration, evaluation, and operational management of AI workflows over time.

  • Build AI-enabled quality assurance and validation systems that improve confidence, consistency, and operational rigor across Finance workflows.

  • Evaluate and auditability patterns supporting SOX-aligned processes where applicable.

  • Develop AI systems that continuously analyze operational and financial processes to surface insights, anomalies, optimization opportunities, and business risks.

  • Monitor and continuously improve AI-powered systems that help Finance teams operate more efficiently, improve accuracy and consistency, accelerate decision-making, and scale institutional knowledge.

  • Build AI-powered intelligence capabilities that help Finance leadership monitor external market activity and prepare executive-level materials more efficiently.

  • Develop AI-enabled workflows that accelerate operational execution and reduce manual effort across recurring Finance processes.

  • Partner closely with Finance SMEs to ensure workflows remain operationally accurate, transparent, and trusted.

  • Enable Finance teams to effectively evaluate, use, and extend AI systems over time.

  • Build evaluation frameworks, regression testing, and quality scorecards.

  • Establish operational review and feedback loops.

  • Train Finance SMEs on AI evaluation and workflow management.

  • Promote transparency around AI capabilities, limitations, and reliability.

  • Help Finance teams grow long-term AI fluency and operational ownership.

Requirements

  • AI & Software Engineering: 5+ years of experience building and deploying software, data, automation, or AI-powered applications.

  • Recent hands-on experience: 2+ years of recent hands-on experience building LLM-based or AI-enabled systems in production environments.

  • Strong experience: Strong experience designing AI workflows including retrieval systems, orchestration patterns, tool usage, evaluation frameworks, and multi-step reasoning systems.

  • Proficiency in Python: Proficiency in Python and experience building production-quality backend services, APIs, integrations, and automation workflows.

  • Enterprise Systems & Data: Experience working with enterprise business systems such as ERP, planning, financial, or operational platforms.

  • Knowledge of data environments: Familiarity with structured and unstructured enterprise data environments.

  • Operational monitoring: Understanding of operational monitoring, evaluation, and observability concepts for AI systems.

  • Communication & Stakeholder Management: Excellent communication and stakeholder management skills.

  • Technical & Business Partnership: Proven ability to partner directly with non-technical teams and translate business workflows into scalable technical solutions.

  • Training & Documentation: Experience enabling business users through training, documentation, and operational coaching.

  • Adaptability & Judgment: Comfortable operating within highly cross-functional and rapidly evolving environments.

  • Governance, Security & Compliance: Awareness of governance, security, and compliance considerations related to enterprise AI adoption.

  • Experience in Finance: Experience applying AI to Finance, Accounting, FP&A, Procurement, Revenue Operations, or operational business workflows.

  • Platform & Tooling Experience: Experience working with platforms such as NetSuite, Adaptive Planning, FloQast, Workday, or enterprise data warehouse environments.

  • AI Orchestration Frameworks: Experience with AI orchestration frameworks such as LangChain, LangSmith, or similar tooling.

  • AWS Services: Experience with AWS services, including Bedrock and modern cloud-native infrastructure.

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