Founded in 2019 and headquartered in Pittsburgh, PA, Free Market Health supports forward-thinking payers and specialty pharmacies of all sizes who need to operate in a complex and opaque market. We empower all stakeholders to optimize r
esources and maximize opportunities while focusing on the most important stakeholder of all: the patient.
Overview
We are looking for a hands-on and visionary
Lead AI Engineer
to drive the development, deployment, and scaling of AI capabilities across our platform. In this role, you will lead a small but growing team of AI engineers, shaping the roadmap, setting best practices, and ensuring the delivery of production-grade, high-impact AI solutions. You will serve as a bridge between technical implementation and business value, working closely with engineering leadership, product teams, and domain experts.
This role requires a deep understanding of AI/ML systems, strong architectural instincts, and a passion for mentoring and growing talent. You will help us navigate the evolving AI landscape and translate promising opportunities into scalable, real-world solutions that improve patient outcomes and drive our mission forward.
Specifics
The responsibilities for this role include, but are not limited to:
AI Strategy & Technical Leadership
·
Define and refine our AI engineering strategy in alignment with business goals and product opportunities.
·
Design and guide the implementation of end-to-end AI/ML pipelines, including data ingestion, model training, deployment, and monitoring.
·
Stay current with industry trends in AI/ML and evaluate their potential for application in our healthcare platform.
Team Leadership & Mentorship
·
Lead, mentor, and support a team of AI engineers, including direct supervision of junior AI engineers.
·
Establish engineering best practices for AI development, including coding standards, peer reviews, and model governance.
·
Foster a collaborative, feedback-driven team culture rooted in our company values: integrity, grit, collaboration, and adaptability.
Cross-functional Collaboration
·
Work closely with product management, data engineering, domain experts, and software engineers to define problem statements and deliver AI-powered features.
·
Translate business needs into actionable technical approaches that consider data availability, ethical implications, and operational constraints.
·
Communicate clearly with both technical and non-technical stakeholders to ensure alignment and transparency.
Productionization & MLOps
·
Own the architecture and scalability of deployed AI models in cloud environments.
·
Implement monitoring and retraining workflows to ensure long-term reliability and performance of AI solutions.
·
Contribute to infrastructure decisions related to model training environments, deployment tools, and experimentation platforms.
Requirements
Education
·
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. PhD is a plus.
Experience
·
6+ years of experience working in AI/ML roles, with 2+ years of experience in a technical leadership position.
·
Proven track record of developing and deploying machine learning systems into production environments.
·
Experience leading cross-functional efforts and mentoring junior engineers.
Technical Skills
·
Advanced proficiency in Python and core machine learning libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
·
Deep understanding of applied ML techniques including NLP, classification, prediction, and time-series analysis.
·
Hands-on experience working with Generative AI models (e.g. GPT, LLaMA, Claude), including prompt engineering, fine-tuning, and integrating GenAI into production applications.
·
Strong grasp of MLOps principles and tools for model lifecycle management (e.g., MLflow, SageMaker, Vertex AI).
·
Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
·
Solid grounding in algorithms, data structures, and applied mathematics
.
Soft Skills
·
Demonstrated ability to communicate technical concepts clearly across audiences.
·
Strong sense of ownership and accountability in both individual and team contributions.
·
Passion for growing talent and building an inclusive, learning-focused team culture.
Preferred
·
Experience with healthcare, real-world data (e.g., claims, EMR), or regulated environments (e.g., HIPAA compliance).
·
Familiarity with responsible AI practices, model explainability, and ethical considerations in AI design.
·
Experience integrating AI features into large-scale, distributed systems.
What We Offer
·
Opportunity to lead AI efforts in a mission-driven, healthcare-focused technology company.
·
A collaborative, expert-driven team environment focused on impact, not ego.
·
A role where you can influence both strategic direction and technical implementation.
·
Access to modern cloud infrastructure and the autonomy to shape AI systems that matter.
PIeb262642830b-30511-37829656