Forward Deployed Engineer

As a Forward Deployed Engineer at Hippocratic AI, your responsibilities will include serving as the technical lead on client engagements, ensuring smooth end-to-end deployment of our LLM in healthcare settings. You'll bridge the gap between clients and our engineering teams, developing tailored solutions by rapidly prototyping and configuring systems to meet specific client needs.

To qualify for the Forward Deployed Engineer position at Hippocratic AI, candidates should hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, alongside at least 5 years of relevant technical experience. Familiarity with healthcare systems like Epic or Cerner and knowledge of interoperability standards such as FHIR or HL7v2 are essential.

In the role of Forward Deployed Engineer, you'll play a crucial part in enhancing healthcare delivery by customizing and implementing solutions that utilize our LLM. Your collaboration with cross-functional teams ensures that the solutions are not just technically sound but also meet the real-world needs of healthcare providers and patients alike.

While strong technical skills related to deployment and integration are mandatory, Hippocratic AI also prefers candidates who have Python programming experience and familiarity with cloud platforms and APIs. A background in startup culture and an ability to adapt to rapidly changing environments will also be beneficial in this role.

Hippocratic AI values in-person teamwork as it fosters creativity and stronger relationships. As a Forward Deployed Engineer, being present in Palo Alto enables you to directly collaborate with colleagues and clients, ensuring that solutions are effectively customized and deployed to meet the urgent needs of the healthcare sector.

When discussing a project, focus on detailing your role, the challenges faced, the technologies used, and the outcomes achieved. Highlight how your actions directly contributed to client success and improved healthcare delivery.

Emphasize communication and collaboration with various stakeholders, including healthcare providers and technical teams. Discuss how understanding the unique needs of each party can lead to a successful implementation.

Describe your systematic approach to troubleshooting, including gathering data on the issue, conducting tests, and collaborating with team members. Share an example where your proactive resolution led to successful deployment.

Client feedback is crucial as it helps fine-tune the final product. Talk about how you actively solicit feedback during and after deployment, and provide real examples where client input led to significant enhancements.

Highlight your commitment to clear communication, regular updates, and availability for questions or issues. Mention any specific tools or methods you use to keep clients informed and engaged throughout the deployment process.

Discuss your specific experiences with EHR systems in deploying solutions. Be ready to talk about specific EHR platforms you've worked with and the strategies you applied to ensure successful integration.

Express your interest in continuous learning through industry publications, webinars, and training sessions. Mention any certifications or courses you’ve completed that are relevant to healthcare data standards.

Share your experiences in startup settings, emphasizing your adaptability and problem-solving skills. Provide examples of how you’ve thrived in fast-paced environments and tackled ambiguity successfully.

Discuss your passion for improving patient outcomes and healthcare delivery. Share specific moments when you felt your work made a significant impact, personalizing your answer to reflect your dedication to the field.

Tailor your response to reflect Hippocratic AI's mission and values. Express excitement about contributing to innovative health solutions and collaborating with a world-class team to drive meaningful change in healthcare.