Forward Deployed Engineer, AI Innovation

Job Summary

We are seeking a Forward Deployed Engineer (FDE) to join a high-impact AI innovation team responsible for designing, building, and deploying AI-driven solutions across enterprise healthcare environments. This role works closely with clinical teams, operational leaders, and IT partners to rapidly deliver scalable AI tools that improve patient care, optimize workflows, and support operational decision-making.

The ideal candidate thrives in fast-paced environments, is comfortable navigating ambiguity, and can move solutions from concept to production while maintaining alignment with enterprise architecture, security, and healthcare compliance requirements.

Key ResponsibilitiesSolution Deployment & Integration

• Partner with operational, clinical, and administrative stakeholders
• Deploy AI solutions into real-world healthcare environments
• Integrate AI systems with platforms such as Epic, Salesforce, Workday, ServiceNow, PACS, VNA, and enterprise data systems
• Build and maintain APIs, data pipelines, and system integrations

AI / Machine Learning Support

• Translate clinical and business problems into AI-driven solutions
• Customize and optimize machine learning models for healthcare use cases
• Collaborate with data scientists to operationalize models into production environments
• Support generative AI, NLP, and large language model initiatives

Stakeholder Engagement

• Serve as a technical advisor to executives, clinicians, and IT leadership
• Gather requirements and convert them into scalable technical solutions
• Lead design discussions, workshops, demos, and solution reviews

Innovation & Prototyping

• Rapidly prototype AI-enabled workflows and automation tools
• Evaluate emerging technologies including generative AI, computer vision, and NLP platforms
• Test and validate new tools for enterprise-wide adoption

System Design & Optimization

• Design secure, scalable, and compliant AI architectures
• Improve performance, reliability, and monitoring of deployed AI systems
• Support continuous improvement and operational stability

Change Management & Adoption

• Support organizational adoption of AI-enabled workflows
• Train technical and non-technical users on new systems
• Develop documentation, implementation guides, and best practices

Key Skills

• Action oriented and comfortable with ambiguity: ability to experiment and work iteratively with incomplete requirements to assess feasibility of a proposed solution and refine its design.
• Communication and collaboration skills: this role will need to be highly collaborative including but not limited to: direct interactions with business for clarifications, demos, feedback; interations with IT partners: cybersecurity, architecture, data, partners who will scale our solutions.
• Familiarity with AI build cost structure and cost optimization: experience with building agents and/or agentic systems and how to approach cost forecasting and optimization.
• Familiarity with HL7 / FIHR: ability to design solutions that can integrate with Epic or other similar applications.
• Self-starter and genuine enthusiasm about AI experimentation: someone who is excited and able to lead new solution design and proof of concepts, and who is interested in keeping up their learning in an ever-changing environment.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience
• Experience with healthcare IT systems and interoperability standards such as Epic, HL7, FHIR, PACS, VNA, Salesforce, Workday, or ServiceNow
• Strong software engineering and API development experience
• Experience with machine learning, natural language processing, generative AI, and large language models
• Experience deploying AI/ML solutions into production environments
• Familiarity with cloud platforms including AWS, Azure, or GCP
• No agencies/c2c

Preferred Competencies

• Strong technical problem-solving skills
• Ability to build production-ready solutions, not just prototypes
• Excellent communication and stakeholder management skills
• Adaptability in rapidly evolving environments
• Customer-focused mindset with the ability to understand clinical and operational needs