Senior Forward Deployed Engineer - Wellness

Location: , , United States,

Department
:
Information Technology,
Type: Full Time

Role
:
Senior Forward Deployed Engineer - Wellness

Our Client is seeking a highly experienced and entrepreneurial Senior Forward Deployed Engineer to own the full technical delivery lifecycle for wellness clients - from pre-sales demonstrations through post-sale integration and production deployment. This role is ideal for an engineer-architect hybrid who can build AI-powered systems end-to-end while working directly with client technical teams and helping shape the core product through real-world customer requirements.

The successful candidate will work with digital and location-based fitness providers to build production AI systems, integrate complex client data sources, and translate customer workflows into AI-orchestrated solutions. The ideal candidate will combine strong production engineering and software architecture experience with polished client-facing communication and an entrepreneurial, startup-minded approach.

Location
:
Remote

Job Type
:
Full-Time

Compensation
: $170,000 - $205,000 per year (OTE: $190,000 - $240,000)

Equity
:
Competitive equity

Visa Sponsorship
:
Not available; U.S. Citizens and Green Card Holders only

Key Responsibilities

• Own the full technical delivery lifecycle for wellness clients, including pre-sales demonstrations, requirements gathering, design sessions, implementation, testing, and production deployment.
• Build customer-facing demonstrations and translate client requirements into production-ready technical solutions.
• Architect and build AI agents and insight products using platform tools such as feature stores, knowledge bases, MCP, and agentic context packages.
• Integrate client data systems, including CRMs and wellness applications.
• Design and implement data ingestion processes, ETL pipelines, and solutions for heterogeneous data sources.
• Collaborate directly with clients' data and technical teams through virtual technical working sessions.
• Translate client workflows and requirements into production AI-orchestrated solutions.
• Design complete system architectures and make technical integration decisions based on client requirements.
• Articulate technical tradeoffs and develop architecture diagrams, API designs, and fallback strategies.
• Build and deploy complex, customer-facing software systems in production.
• Make autonomous technical decisions while operating across multiple aspects of client engagements.
• Feed learnings from client deployments back into the core platform, spending approximately 10-20% of time influencing product direction through real-world client patterns.
• Collaborate with internal product and engineering teams to incorporate customer learnings into reusable platform capabilities.
• Work across engineering, architecture, data, AI, and client-facing responsibilities as required by each engagement.

Required Qualifications

• Minimum 5 to 15 years of professional software engineering experience.
• Experience owning full technical delivery for clients, including pre-sales, scoping, and post-sale integration.
• Proven experience building and deploying customer-facing software systems end-to-end, through production engineering, solutions engineering, solutions architecture, or technical consulting.
• Ability to design end-to-end system architectures and produce complete architecture diagrams.
• Strong software architecture skills, including the ability to make integration decisions and articulate technical tradeoffs.
• Experience building data and machine learning pipelines, including PySpark, ETL/ELT, unstructured data, document ingestion, and predictive models.
• Fluency in modern programming languages and frameworks, including JavaScript/Node.js, Type Script, Python, Next.js, and React.
• Strong client-facing communication and professional presence.
• Ability to run technical working sessions and present technical solutions to clients.
• Production engineering experience shipping complex, customer-facing software systems.
• Strong ability to work independently and make autonomous technical decisions.

Preferred Qualifications

• Experience as a founding engineer, startup co-founder, startup CTO, or software engineer at a high-growth startup.
• Experience in formal machine learning or internal data science work on healthcare-related projects.
• Experience building LLM systems or AI agents, including:
• Prompt engineering
• Function calling
• Structured output
• Guardrails
• Observability

Ideal Candidate Profile

The ideal candidate is an engineer-architect hybrid who has…