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Senior Forward Deployed Engineer (Finance AI Enablement)
Omada Health · United States
About The Role
Join Omada Health as a Senior Forward Deployed Engineer, where you will be the embedded AI engineering partner for the Finance organization. You will turn high-value finance problems into production systems, design and build AI integration layers, develop AI-enabled quality assurance systems, and create AI-powered intelligence capabilities. This role requires strong experience in AI workflows, software development, and integration of enterprise systems. You will have a significant impact on the efficiency and effectiveness of the Finance team and the organization as a whole.
- Operar como el socio de ingeniería de IA embebido para la organización de Finanzas, asistiendo a revisiones de planificación, ciclos de cierre, discusiones de pronóstico y revisiones operativas.
- Diseñar, construir, implementar, monitorear y mejorar continuamente sistemas impulsados por IA que ayuden a los equipos de Finanzas a operar de manera más eficiente, mejorar la precisión y la consistencia, acelerar la toma de decisiones y escalar el conocimiento institucional.
- Desarrollar sistemas de calidad y validación habilitados por IA que mejoren la confianza, la consistencia y el rigor operativo en los flujos de trabajo de Finanzas, incluyendo la reconciliación de métricas y la validación de consistencia narrativa.
- Strong experience designing AI workflows including retrieval systems, orchestration patterns, tool usage, evaluation frameworks, and multi-step reasoning systems
- 5+ years of experience building and deploying software, data, automation, or AI-powered applications
- 2+ years of recent hands-on experience building LLM-based or AI-enabled systems in production environments
- Strong proficiency in Python and experience building production-quality backend services, APIs, integrations, and automation workflows
- Experience integrating enterprise systems and operational data into AI-enabled workflows
- Familiarity with structured and unstructured enterprise data environments
- Experience designing retrieval or contextual knowledge systems across large document and metric corpora
- Understanding of operational monitoring, evaluation, and observability concepts for AI systems
- Experience working with enterprise business systems such as ERP, planning, financial, or operational platforms
- Comfortable operating within highly cross-functional and rapidly evolving environments
- Excellent communication and stakeholder management skills
- Experience enabling business users through training, documentation, and operational coaching
- Proven ability to partner directly with non-technical teams and translate business workflows into scalable technical solutions
- Thrives in ambiguity and 0→1 environments
- Demonstrates strong prioritization and judgment across competing initiatives
- Comfortable balancing embedded business partnership with centralized engineering alignment
- Strong ownership mentality with the ability to independently drive initiatives forward
- Comfortable incorporating human review, evaluation, and auditability into AI workflows
- Familiarity working within regulated or compliance-sensitive environments involving financial, operational, or healthcare-related data
- Awareness of governance, security, and compliance considerations related to enterprise AI adoption
- Experience applying AI to Finance, Accounting, FP&A, Procurement, Revenue Operations, or operational business workflows
- Experience working with platforms such as NetSuite, Adaptive Planning, FloQast, Workday, or enterprise data warehouse environments
- Experience with AI orchestration frameworks such as LangChain, LangSmith, or similar tooling
- Experience extracting structured insights from unstructured enterprise documents using AI techniques
- Experience with AWS services, including Bedrock and modern cloud-native architectures
- Prior experience operating as an embedded, Forward Deployed, Solutions, or customer-facing engineer
- Strong perspective on responsible enterprise AI adoption and organizational AI enablement
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