Senior Forward Deployed Engineer (FDE)
About The Position
The company is seeking a Senior Forward Deployed Engineer to architect, build, and deploy production-grade AI agent systems for sophisticated healthcare clients. The role combines software engineering, AI, healthcare technology, and enterprise consulting, translating complex business requirements into scalable technical solutions and integrating AI systems with existing healthcare infrastructure. The engineer owns complex enterprise engagements across the full client lifecycle, from discovery, pre-sales, and solution design through implementation, integration, and post-launch support. The role involves working independently, making architectural decisions, and collaborating directly with healthcare executives, technical teams, and internal product leaders. Insights from customer deployments will inform reusable platform components and future product development. The position is remote within the United States, with a preference for Eastern or Central time zones, and includes opportunities for quarterly team offsites in New York.
Requirements
- 5–15 years of software engineering experience, including a strong background building and delivering production software systems.
- Experience owning full technical delivery for enterprise clients, including pre-sales support, requirements gathering, solution scoping, implementation, integration, and post-launch support.
- Experience delivering customer-facing software systems end to end through production engineering, solutions engineering, solutions architecture, or technical consulting.
- Healthcare or life sciences domain expertise, particularly in patient services, specialty pharmacy, pharmacovigilance, clinical operations, health insurance, or HIPAA-related compliance.
- Ability to design end-to-end system architectures and produce clear, comprehensive architecture diagrams.
- Strong client-facing communication and professional presence, including the ability to lead technical sessions and present to technical and non-technical stakeholders, including senior executives.
- Fluency in modern programming languages and frameworks, including JavaScript, Node.js, TypeScript, Python, Next.js, and React.
- Experience building data and machine learning pipelines, including ETL/ELT workflows, document ingestion, unstructured data processing, PySpark, or predictive modeling.
- Experience deploying production applications and managing cloud infrastructure using AWS, GCP, or comparable platforms.
- Entrepreneurial, ownership-driven mindset; ability to work independently, navigate ambiguity, make decisions under pressure, and take accountability for complex client engagements.
- Existing authorization to work in the United States without requiring visa sponsorship or transfer.
Nice To Haves
- Experience as a founding engineer, startup co-founder, startup CTO, or software engineer at a high-growth startup.
- Experience building and deploying LLM-powered systems or AI agents, including prompt engineering, function calling, structured outputs, guardrails, and observability.
- Formal machine learning or internal data science experience on healthcare-related projects.
- Experience integrating AI systems with EHR/EMR platforms, claims infrastructure, specialty pharmacy systems, healthcare CRMs, or other enterprise healthcare applications.
- Familiarity with HIPAA, healthcare data privacy, and security requirements for production software.
- Experience building scalable data infrastructure, ETL/ELT pipelines, and document-processing workflows for complex enterprise datasets.
- Experience with PostgreSQL, Redis, WebSockets, vector stores, LLM orchestration, Docker, and CI/CD pipelines.
- Familiarity with AI-assisted development tools and coding agents, including Claude Code and Gemini.
- Experience presenting architecture decisions and technical recommendations to executive stakeholders at large enterprises.
Responsibilities
- Own end-to-end client engagements, from pre-sales demonstrations and requirements gathering through solution design, integration, implementation, and post-launch support.
- Design and deploy production-ready AI agent applications integrated with healthcare systems such as EHR/EMR platforms, claims systems, specialty pharmacy infrastructure, and CRMs.
- Facilitate technical working sessions, present solutions, and communicate with C-suite executives and other senior client stakeholders.
- Make independent decisions about system design, technology selection, integration strategy, and technical problem-solving.
- Build reliable, scalable production software and integrations using modern programming languages, cloud infrastructure, and AI technologies.
- Build data pipelines and ingestion systems that process structured and unstructured data, support machine learning workflows, and meet applicable healthcare privacy and security requirements.
- Translate customer deployment lessons into platform improvements, reusable components, and product capabilities.
- Remain accountable for the technical quality, reliability, and business impact of enterprise engagements.
Benefits
- Competitive equity opportunity.
- Remote work within the United States.
- Quarterly team offsites in New York.
- High-impact enterprise work building AI solutions for major healthcare organizations.
- Technical ownership of complex deployments and architectural decisions.
- Opportunity to influence the core AI platform and product roadmap.
- Career growth at the intersection of healthcare, AI, enterprise software, and technical consulting.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
