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: $170000 $205000 OTE of $190000 $240000
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 platforms 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 companys 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

• 515 years of professional software engineering experience
• Strong experience building and deploying customer-facing software systems
• Experience owning technical delivery from discovery and scoping through production deployment
• Experience working across pre-sales technical discovery implementation and post-sale integration
• Experience building complex systems end-to-end rather than only prototyping or scoping solutions
• Experience working directly with customer technical teams
• Experience in production engineering solutions engineering solutions architecture or technical consulting with strong hands-on engineering experience
• Experience working in startups or high-growth technology companies strongly preferred
• Founding engineer startup CTO or early engineering experience is a strong plus
• Healthcare wellness life sciences or data-intensive technology experience is preferred but not required

• Strong software engineering fundamentals
• Strong system architecture and system design skills
• Ability to design complete end-to-end architectures
• Ability to create and communicate architecture diagrams
• Strong experience with modern programming languages including Python TypeScript JavaScript or
• Experience with React and
• Experience building APIs and integrating enterprise systems
• Experience with PostgreSQL and modern databases
• Experience building data and machine learning pipelines
• Experience with ETL/ELT and data ingestion
• Experience working with structured and unstructured data
• Experience with cloud infrastructure such as AWS or GCP
• Experience with Docker and CI/CD
• Experience with real-time systems or WebSockets is a plus
• Experience building LLM systems or AI agents is strongly preferred
• Understanding of prompt engineering function calling structured outputs guardrails and AI observability
• Experience with vector stores and LLM orchestration is a plus
• Ability to make architectural tradeoffs around APIs integrations reliability observability and fallback strategies

• Strong experience working directly with customers on technical requirements
• Ability to translate business and operational workflows into technical architectures
• Comfortable running technical discovery and working sessions
• Able to present technical solutions to engineering teams and executive stakeholders
• Strong understanding of customer implementation and integration challenges
• Ability to balance customer-specific requirements with scalable product architecture
• Comfortable owning customer-facing technical delivery from start to finish
• Strong business acumen and ability to understand the commercial context behind technical decisions
• Comfortable feeding customer insights back into product strategy

• Entrepreneurial and highly ownership-oriented
• Strong executive presence and professional communication
• Comfortable operating with significant autonomy
• Strong first-principles problem-solving ability
• Comfortable wearing multiple hats
• Highly analytical and technically curious
• Strong written and verbal communication
• Comfortable with ambiguity and rapidly changing priorities
• Able to communicate complex technical concepts clearly
• Strong customer empathy
• Low-ego and collaborative
• Able to move quickly without sacrificing technical quality
• Comfortable making decisions independently
• Strong leadership and mentorship instincts
• Motivated by building rather than simply advising or scoping

• Base salary: $170000 $205000
• Total cash compensation: $190000 $240000
• Competitive equity package
• Remote-first work environment
• Eastern or Central time zones preferred
• Quarterly team offsites in New York
• Opportunity to work directly with major healthcare and wellness organizations
• High ownership over customer-facing AI systems
• Ability to influence core product development
• Significant exposure to AI ML data engineering and enterprise integrations
• Opportunity to work at a profitable rapidly growing technology company
• Employee equity liquidity opportunities through periodic secondary offerings

This is an opportunity to join a rapidly growing healthcare AI company where engineers have significant ownership over how complex customer problems are solved.

Youll work directly with enterprise wellness and healthcare organizations owning technical delivery from pre-sales and discovery through architecture implementation and production deployment.

The role combines hands-on engineering with customer interaction making it a strong fit for someone who enjoys building systems while also working directly with the people using them.

If you enjoy solving complex technical problems designing systems from first principles working directly with customers and operating like an engineer-founder in a high-growth environment this role offers significant technical ownership and scope.