Senior Forward Deployed Engineer

Senior Forward Deployed Engineer – AI / Healthcare

Location: San Francisco, CA

Work Model: Onsite/Hybrid

Salary: $190K - $240K + Equity

About the Opportunity:

We’re working with a rapidly growing technology organization developing AI-powered solutions that are changing how healthcare organizations interact with patients.

We’re looking for a Senior Forward Deployed Engineer who can take ownership of complex customer implementations and turn technical requirements into reliable, production-ready solutions. This is a highly hands-on role for an engineer who enjoys working directly with customers, solving ambiguous technical challenges, and taking products from initial configuration through production launch.

This position sits at the intersection of software engineering, AI, integrations, and customer delivery . You’ll work closely with product, engineering, and customer-facing teams while serving as the primary technical owner for implementations.

What You’ll Work On :

• Lead technical delivery for enterprise customer deployments, from initial discovery and architecture through launch and ongoing improvements.
• Develop and maintain integrations across APIs, enterprise platforms, communication systems, scheduling technologies, and other third-party tools.
• Configure and build customer-specific workflows based on operational requirements and business processes.
• Troubleshoot complex production issues involving multiple systems and external dependencies.
• Develop internal tooling, automation, and reusable technical solutions that improve implementation speed and scalability.
• Analyze real-world system performance and use customer feedback and production data to improve deployed solutions.
• Collaborate with product and engineering teams to identify recurring customer requirements and translate them into scalable platform capabilities.
• Partner with sales and customer-facing teams during technical discovery, solution design, and product demonstrations.
• Communicate technical concepts clearly to both engineering teams and non-technical stakeholders.
• Take ownership of projects in environments where requirements may evolve quickly and solutions aren't always clearly defined.

What We’re Looking For:

• 2-4 years of professional software engineering experience.
• Strong experience building, shipping, and supporting production software.
• Strong proficiency in Python .
• Hands-on experience working with APIs, integrations, and distributed systems or multiple interconnected platforms.
• Ability to independently troubleshoot complex technical problems and develop practical solutions.
• Comfortable operating in a fast-moving environment with significant ownership and ambiguity.
• Strong written and verbal communication skills, particularly when working with customers or cross-functional stakeholders.
• A hands-on, resourceful approach to engineering—you enjoy figuring things out rather than waiting for a predefined solution.
• Interest in applying technology and AI to improve healthcare operations and patient experiences.

Additional Experience That’s Valuable :

• Healthcare technology experience, including EHR, practice-management, scheduling, or patient-engagement platforms.
• Experience in forward-deployed engineering, solutions engineering, implementation engineering, or another customer-facing technical role.
• Exposure to AI/LLM-based applications or intelligent automation.
• Experience with voice, telephony, or communications platforms such as Twilio.
• Experience supporting enterprise customers or large-scale production deployments.
• Experience working with highly regulated or operationally complex environments.

Why This Role :

• Work directly on production AI applications with measurable real-world impact.
• Take significant ownership of customer deployments rather than working solely on internal engineering projects.
• Collaborate closely with engineering, product, and customer-facing teams.
• Solve challenging integration and systems problems across a variety of enterprise environments.
• Help shape how an emerging AI platform evolves based on direct customer and production experience.
• Join a rapidly scaling organization where engineers have meaningful influence and ownership.