Senior Forward Deployed Engineer - Wellness

Location: New York, NY / Boston, MA / Chicago, IL / Texas / Remote within the U.S.

Company Stage of Funding: Growth-Stage / Well-Funded

Office Type: Remote --- Eastern or Central time zones preferred; quarterly team offsites in New York

Salary: $170,000 -- $205,000 + OTE of $190,000 -- $240,000

Equity: Competitive Equity

Visa: No visa sponsorship or transfers --- U.S. Citizens / Green Card holders only

Travel: Quarterly team offsites in New York and occasional customer-facing travel as needed

Our client is a high-growth healthcare AI company building predictive and AI-powered systems for major health systems, health plans, and wellness organizations.

The company has grown rapidly, doubling revenue from $55M to $116M ARR in 2025 and continuing to scale toward $200M in annual revenue. With over $50M in funding and a team of approximately 100+ employees across the U.S. and Israel, the company is operating at significant scale while maintaining an entrepreneurial, ownership-driven culture.

The platform combines machine learning, data infrastructure, AI agents, predictive models, and enterprise integrations to power real-world healthcare and wellness workflows.

This is an opportunity to join a highly technical application engineering team where engineers own customer solutions end-to-end --- from pre-sales and technical discovery through architecture, implementation, deployment, and ongoing iteration.

The role combines software engineering, solutions architecture, AI/ML, data engineering, and customer-facing technical delivery.

• Own full technical delivery for wellness clients from pre-sales through production deployment
• Build technical demos and prototypes that demonstrate the platform's capabilities to prospective customers
• Work directly with customer technical and data teams to gather requirements and understand existing workflows
• Lead technical discovery and design sessions with customer stakeholders
• Design end-to-end system architectures for complex enterprise and wellness use cases
• Create architecture diagrams and clearly communicate technical tradeoffs
• Build and deploy customer-facing software systems into production
• Architect and build AI agents and intelligent applications using the company's platform
• Integrate with customer CRMs, wellness applications, and other enterprise systems
• Build data ingestion pipelines across structured and unstructured data sources
• Develop ETL/ELT pipelines and data-processing workflows
• Work with heterogeneous datasets and complex enterprise data environments
• Build machine learning and AI-powered workflows for customer use cases
• Implement LLM-powered systems including prompt engineering, function calling, structured outputs, guardrails, and observability
• Work with APIs, databases, cloud infrastructure, and real-time systems
• Partner closely with customer engineering and data teams during implementation
• Troubleshoot integration, architecture, and production issues
• Own systems from initial requirements through testing, deployment, and iteration
• Feed customer learnings and recurring patterns back into the core product
• Influence product direction based on real-world customer requirements
• Make architectural and technical decisions with significant autonomy
• Work across multiple technical disciplines including application engineering, data, AI, and infrastructure
• Operate effectively in a fast-moving, entrepreneurial environment
• Take ownership of complex technical problems without requiring detailed instructions
• Represent the company professionally with technical and executive customer stakeholders

• 5--15 years of professional software engineering experience
• Strong…