AI Solution Architect

Εταιρεία: Dyania Health
Είδος εργασίας: Πλήρης απασχόλησης

About Dyania Health
Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically pre-adapted LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate the process of manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, and deploys medical logic with temporal sensitivity to match dynamically changing patient characteristics with complex clinical trial criteria during the exact window of time that a given EMR may qualify for study protocol criteria.
Key Responsibilities
Collaborate with the business development team to understand customer needs and develop a templated technical overview presentation for IT and technical resources that can be used in conversations with Clients and modified for gathering unique individual requirements and technical specs on a project-by-project basis
Develop a repeatable requirements gathering methodology and series of questions that will be posed internally first before allowing for a systematic approach to defining client technical requirements gathering
Create and update documentation as a technical manual to allow for clients to designate proper resources to implement and learn best practices for how to have the right infrastructure and resources in place to support a Dyania implementation
Effectively communicate the technical capabilities and benefits of Synapsis AI to potential clients through presentations, demonstrations, and technical documentation.
Act as a technical liaison between customers and internal engineering teams, providing valuable insights and feedback to enhance product functionality and performance, as well as providing needed specs and filtering when our engineering team needs to be on calls troubleshooting or running DevOps with the client’s technical team
Develop and deliver customized product demonstrations and proofs of concept (POCs) to showcase the value proposition of Synapsis AI in various use cases.
Requirements
Degree in computer science, engineering, or mathematics equivalent
1-3 years experience in backend software engineering, technical architecture, or DevOps
1-3 years of experience in a technical sales or sales engineering role
Excellent communication skills, with the ability to effectively convey complex technical concepts to diverse audiences.
Demonstrated proficiency, comfort, and confidence in presenting technical solutions and conducting product demonstrations.
Ability to think on their feet to problem solve in real time and suggest solutions to problems that will be feasible without overcommitting our engineering and product team
Nice to Have
Experience with healthcare technologies and ecosystems (e.g., Epic, Cerner), understanding of EMR systems and healthcare data interoperability standards is a plus but not required
Team Culture
We lead with empathy for patients and our teammates
We value small egos, self-awareness, and humility in our teammates
We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift
We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team
We value open dialogue and brainstorming across multidisciplinary teams