Vega Health provides a curated marketplace and integration platform that helps health systems adopt, implement, and monitor validated AI solutions.
<div class="content-intro"><h2>Overview of Vega Health</h2> <p>At Vega Health, we aspire to be the objective, trusted partner that equips health systems everywhere as they scale AI solutions that improve care and operational outcomes. Inspired by a<br>decade of experience developing, implementing, and validating AI solutions at Duke Health, our team is focused on scaling AI solutions that were developed by those closest to care and<br>partnering with healthcare organizations to integrate innovations that realize outcomes and value. In summary, we founded Vega Health to continuously ask our partners, “What problem can we solve today?” while scaling AI that works.</p> <p>As part of our team, you’ll play a key role in achieving this mission, and you’ll also be building with us, side-by-side and in-person, within the heart of downtown Durham, North Carolina. At the core, we believe in a culture that leads with integrity, trust, and accountability and grows with humble ambition, collaboration, and curiosity. Please visit vegahealth.com for more information about our story and the DNA of how we approach this work.</p></div><h2><strong>About the role</strong></h2> <p>Vega Health is seeking an AI Engineer to accelerate the development, validation, integration, and monitoring of AI models on the Vega Health Platform. The AI Engineer will report directly to the AI Monitoring Lead. This role will work closely with the Product and Engineering team to ensure optimal integration of AI models on the Vega Health Platform and will work closely with the Director of Business Operations to translate customer-defined problems into solutions.</p> <p>The AI Engineer will be responsible for supporting the end-to-end lifecycle of model onboarding and building the foundational architecture, systems, and processes required to support scalable AI solution integrations. The ideal candidate is a systems thinker who is equally comfortable diving into technical specifications, interfacing with external researchers and model builders, evaluating a wide variety of AI and ML models, and communicating complex concepts to non-technical stakeholders. This role requires someone who thrives in ambiguity, can work with complex healthcare data, and brings both an engineering and a data science perspective to every problem they solve.</p> <p>This role offers significant growth potential as Vega Health scales. A successful AI Engineer will have the opportunity to shape the long-term technical strategy for model integration and AI monitoring and evaluation capabilities. This role will also have the opportunity to take on responsibilities for optimizing customer use of AI solutions on the Vega Health Platform. This person should be adaptable, intellectually curious, and energized by building things that don't yet have a clear playbook and should be eager to develop scalable processes to support growth of the company.</p> <h2><strong>Where you'll get to dive in</strong></h2> <h3><strong>Model Onboarding & Deployment Support</strong></h3> <ul> <li>Support the AI Monitoring Lead to onboard and integrate AI/ML models and health AI solutions onto the Vega Health Platform, including ensuring that all the relevant and necessary information has been provided by each supplier/developer and that the model complies with all Vega Platform requirements</li> <li>Design repeatable, well-documented processes for model validation, integration into Vega Platform solutions, deployment, and post-implementation monitoring</li> <li>Partner with the AI Monitoring Lead and Engineering teams to ensure the models are production-ready, performant, and interoperable with existing systems at each client site</li> <li>Generate documentation and training materials for new models, including model design, validation as reported by model developer and/or as performed by Vega during model onboarding, guidelines for use, etc.</li> <li>Collaborate with the Engineering and Product teams to design and implement the workflows, interfaces, and other components around the models to ensure that users and downstream systems can draw insight from and take action based on model outputs</li> </ul> <h3><strong>AI Model Implementation Strategy</strong></h3> <ul> <li>Serve as a subject matter expert for customers and the Vega Health Implementation teams during AI model implementations, translating complex technical workflows into clear, accessible explanations and providing documentation/education materials, as needed</li> <li>Support the Vega Health Implementation and Engineering teams during due diligence on customer environments during the pre-implementation phase, such as identifying integration nuances (e.g., EHR vendor) and surfacing potential technical blockers or opportunities relevant to model deployment</li> <li>Supporting the Implementation Lead, AI Monitoring Lead, and Engineering teams to inform internal development and innovation roadmaps at each customer site, aligning their aspirations with the capabilities offered by the Vega Health Platform </li> <li>Collaborate with AI Monitoring Lead, Engineering teams, and Implementation teams to analyze real-world performance of models in customer implementations, identify needs for model improvement or removal from the marketplace, and incorporate insights into guidelines for future model use, product roadmaps for model/solution integration, and sourcing strategy for the model marketplace</li> </ul> <h3><strong>Supporting the Vega Health Marketplace </strong></h3> <ul> <li>Architect a consistent, well-structured intake process that streamlines the process from securing a distribution partnership agreement with a supplier/developer to beginning the onboarding process for the licensed IP</li> <li>Collaborate with the Director of Business Development and Director of Business Operations to inform strategic supplier/developer partnerships, including identifying current gap