Lead, AI Engineer

We’re unique. You should be, too.

We’re changing lives every day. For both our patients and our team members. Are you innovative and entrepreneurial minded? Is your work ethic and ambition off the charts? Do you inspire others with your kindness and joy?

We’re different than most primary care providers. We’re rapidly expanding and we need great people to join our team.

The Lead AI Engineer role is responsible for oversight of the development and administration of data-centered projects that ultimately inform and promote the company's expansion. With deep knowledge and expertise in utilizing machine learning to solve complex, real-world problems, the incumbent in this role formulates, recommends, and leads data-driven projects which are geared at furthering the company’s interests. He/She leads the development of cutting edge Artificial Intelligence (AI) and Machine Learning (ML) driven solutions based on a rich stream of clinical, claims, payer, and behavioral data. The role operates in a highly collaborative environment of data scientists, data engineers, domain experts and business leaders to deliver analytics products that have the potential to fundamentally alter how healthcare is thought about and delivered in a large scale.

ESSENTIAL JOB DUTIES/RESPONSIBILITIES:

• Leads in developing complex algorithms and statistical predictive models and determining analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
• Conducts and facilitates analyses of structured and unstructured data to solve multiple and complex business problems utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the organization and/or industry.
• GenAI Development: Design, develop, and deploy GenAI models, focusing on cognitive architectures, knowledge graph embedding, and multimodal learning.
• MLOps and LLMOps: Implement and manage MLOps and LLMOps pipelines, ensuring efficient and automated model training, testing, deployment, and monitoring.
• System Integration: Integrate AI models with larger systems, including cloud-based infrastructure, software applications, and data platforms.
• Innovation: Stay up-to-date with the latest advancements in GenAI, ML, MLOps, and LLMOps, and apply this knowledge to drive innovation and improvement in our AI systems.
• Applies analytical rigor and statistical/ML methods to analyze large amounts of data, using advanced statistical techniques.
• Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing.
• Leads other team members across a range of projects. Assumes a prominent role in the development of junior staff. Behaves as mentor to junior team members to provide technical advice. Collaborates with business partners to develop technical/business approaches and new or enhanced technical tools.
• Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology/business solutions.
• Identifies meaningful insights from “big data” sources. Assists in the coordination of various research initiatives. Serves as an internal consultant in identifying opportunities to improve decision making through the application of analytical concepts and techniques.
• Performs other duties as assigned and modified at manager’s discretion.

KNOWLEDGE, SKILLS, AND ABILITIES:

• Astute business acumen and acuity
• Expert knowledge and understanding of machine learning fundamentals including classical machine learning and deep learning techniques
• Excellent verbal communication skills, including the ability to articulate complex concepts to both technical and non-technical audiences
• Superb interpersonal, organization, time-management, facilitation, and coordination skills
• Task-oriented with an ability to set goals and complete deliverables
• Outstanding supervision and mentorship abilities
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork
• Demonstrated aptitude in Python with hands-on experience implementing production machine learning systems
• Skilled with relational databases and programming languages, such as SQL, Python, scikit-learn, TensorFlow, and shell scripting
• Mastery skills in Microsoft Office Suite products including Word, Excel, PowerPoint, and Outlook, plus a variety of other word-processing, spreadsheet, database, e-mail, and presentation software
• Ability and willingness to travel locally, regionally, and nationwide up to 10% of the time
• Spoken and written fluency in English
• This job requires use and exercise of independent judgment

EDUCATION AND EXPERIENCE CRITERIA:

• Master's or PhD degree in a quantitative field such as: Medical Informatics, Statistics, Engineering, Computer Science or Economics required OR additional experience above the minimum may be considered in lieu of the required education on a year-for-year basis
• Experience: 5+ years of experience in AI/ML engineering, software development, or a related field, with a focus on GenAI and ML.
• Strong understanding of computer vision, NLP, and predictive analytics.
• A minimum of 2 years’ experience using tools in at least one cloud computing platform such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• Experience with DevOps, containerization (e.g., Docker), and agile development methodologies.
• Certified Analytics Professional (CAP) preferred