Sr. AI Software Engineer

Location: This position may work remotely anywhere in the United States of America and Canada with significant business travel to and from prospect/client sites and/or the Quantum Health home office in Dublin, OH.

Who we are

Founded in 1999 and headquartered in Central Ohio, we're a privately-owned, independent healthcare navigation organization. We believe that no one should have to navigate the cost and complexity of healthcare alone, and we're on a mission to make healthcare simpler and more effective for our millions of members. Our big-hearted, tech-savvy team fights to ensure that our members get the care they need, when they need it, at the most affordable cost - that's why we call ourselves Healthcare Warriors.

We're committed to building diverse and inclusive teams - more than 2,000 of us and counting - so if you're excited about this position, we encourage you to apply - even if your experience doesn't match every requirement.

About the role

We are seeking a Senior AI Software Engineer to help lead the development of advanced AI solutions that are transforming healthcare. This is an exciting opportunity to take ownership of impactful projects that improve patient outcomes while working alongside a team of experienced professionals in a collaborative and innovative environment.

As a Senior AI Software Engineer, you will play a critical role in designing and deploying state-of-the-art AI solutions, optimizing Large Language Models, and driving the development of secure, scalable cloud-native applications. You will work with a talented team of engineers, product managers, and stakeholders to solve complex challenges using technologies like Python, Node.js, and React, all while leveraging cloud platforms such as AWS or Azure. In this role, you'll have the opportunity to lead technical initiatives, mentor junior engineers, and contribute to architectural decisions that shape the future of AI in healthcare. If you are passionate about AI innovation, thrive in a leadership role, and are eager to make a lasting impact, we'd love to have you on board.

What you'll do (Essential Responsibilities)

* Lead the design, development, and deployment of AI-driven solutions, ensuring alignment with business objectives and scalability requirements.

* Drive the adoption of cutting-edge AI technologies, including Large Language Models (LLMs), deep learning, and reinforcement learning.

* Architect end-to-end AI pipelines, integrating data engineering, model training, evaluation, and deployment in cloud and hybrid environments.

* Provide strategic guidance on AI/ML adoption, balancing innovation with business feasibility.

* Design and implement advanced AI models tailored to complex business challenges, ensuring accuracy, efficiency, and maintainability.

* Lead research and development efforts to enhance model performance, interpretability, and deployment efficiency.

* Collaborate with data teams to establish robust data strategies, including feature engineering, augmentation, and governance.

* Evaluate and introduce new AI/ML frameworks, ensuring continuous improvement and optimization of existing models.

* Serve as a technical leader, mentoring and guiding junior and mid-level engineers in AI/ML best practices, software engineering principles, and career growth.

* Set coding standards, design guidelines, and best practices for AI development and deployment.

* Lead technical discussions, providing insights on AI trends and guiding architectural decisions.

* Collaborate with leadership to influence strategic AI investments and roadmap planning.

* Oversee the development of scalable back-end services in Python, Java, or Node.js, ensuring high availability and performance for AI applications.

* Lead the development of AI-driven front-end solutions using React, focusing on creating intuitive user experiences powered by intelligent insights.

* Champion the implementation of microservices and event-driven architectures to enhance the AI platform's modularity and scalability.

* Ensure software development follows best practices, including design patterns, automated testing, and continuous delivery.

* Lead the design and optimization of cloud-native AI solutions using AWS, Azure, or GCP, ensuring scalability, security, and cost-effectiveness.

* Architect and implement MLOps pipelines for automated model training, validation, deployment, and monitoring.

* Evaluate and optimize infrastructure costs, implementing serverless, containerized, and distributed computing solutions as needed.

* Collaborate with DevOps teams to ensure seamless integration of AI workflows into CI/CD pipelines.

* Ensure AI solutions adhere to regulatory compliance and organizational security policies.

* Implement responsible AI practices, focusing on fairness, bias mitigation, and explainability.

* Conduct AI security risk assessments and proactively address potential vulnerabilities.

* Advocate for ethical AI development, ensuring transparency and accountability in AI-driven decisions.

* Stakeholder Collaboration & Cross-Functional Impact

* Act as a key liaison between engineering, product, and business teams to drive AI initiatives that align with organizational goals.

* Translate complex technical concepts into actionable insights for non-technical stakeholders.

* Lead AI-driven innovation projects, contributing to long-term strategic initiatives.

* Stay at the forefront of AI advancements, continuously exploring new methodologies and emerging technologies.

* Represent the company in AI conferences, webinars, and industry panels to build brand credibility.

* Foster a culture of innovation by initiating AI hackathons, workshops, and training programs within the organization.

* Drive internal initiatives to explore potential new AI product offerings and capabilities.

* All other duties as assigned.

What you'll bring (Qualifications)

* 7+ years of experience in software development, with a strong focus on AI/ML projects, including designing, deploying, and optimizing AI-driven solutions.

* Hands-on expertise in AI/ML models, including Large Language Models (LLMs), Natural Language Processing (NLP), deep learning, and reinforcement learning.

* Proficiency in programming languages, particularly Python, Java, or Node.js, and experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar.

* Advanced knowledge of cloud platforms like AWS, Azure, or GCP, including hands-on experience with services like SageMaker, Lambda, API Gateway, and other cloud-native AI solutions.

* Experience with distributed computing systems, such as Spark and Kafka, for handling large-scale data pipelines and/or AI workflows.

* Strong knowledge of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB), for data storage and processing in AI systems.

* Experience with MLOps pipelines, including automating model training, validation, deployment, and monitoring.

* Full-stack development experience, with a strong understanding of back end (Python, Node.js) and front-end (React) development, including building APIs and creating intuitive user interfaces.

* Proven leadership and mentorship skills, with the ability to guide junior and mid-level engineers in AI/ML best practices, coding standards, and architectural decisions.

* Strong understanding of security and compliance practices, including implementing responsible AI practices and ensuring compliance.

* Experience in the healthcare industry is preferred, with familiarity in building compliant, secure AI solutions.

* Track record of success in all stages of the SDLC, including planning, execution, testing, and deployment of AI-driven applications.

* Strong collaborative and communication skills, with experience working as a liaison between engineering teams, product managers, and stakeholders.

* Demonstrated ability to architect end-to-end AI or Data pipelines, integrating data engineering, model training, evaluation, and deployment for cloud and hybrid environments.

* Familiarity with agentic frameworks and AI technologies, with the ability to explore and implement new AI-driven solutions is a plus.

* Strong collaborative and communication skills, with experience working as a liaison between engineering teams, product managers, and stakeholders.

* A high degree of personal accountability and trustworthiness, a commitment to working within Quantum Health's policies, values and ethics, and to protecting the sensitive data entrusted to us.

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