→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, TypeScript, 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

Senior Forward Deployed Engineer - Wellness

Quick Summary

Requirements

Responsibilities

Location & Eligibility

Listing Details

Posting Health

Similar Forward Deployed Engineer jobs

Browse Similar Jobs

Stay ahead of the market