Senior Forward Deployed Engineer at Omada Health

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