Lead AI/ML Engineer Remote Nationwide or Hybrid in MN/DC

About the role

Join us to start Caring. Connecting. Growing together. As a Lead AI/ML Engineer on our Behavioral Health Technology team, you will design, develop, and implement enterprise-scale machine learning systems and artificial intelligence solutions. Our team's mission is to advance clinical and administrative excellence in behavioral health by leveraging advanced technologies like deep learning, natural language processing, and generative AI.

Responsibilities

• Own Discovery, technical scoping, system Design, build, and deploy production-grade machine learning models and scalable AI solutions to address complex business challenges, emphasizing responsible and ethical use of AI
• Design and implement end-to-end MLOps pipelines, including data ingestion, feature engineering, model training, validation, deployment, and automated monitoring
• Evaluate emerging AI/ML trends, frameworks, and methodologies to inform solution design, drive strategic innovation, and continuously optimize existing models
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate complex business requirements into robust, reusable AI capabilities
• Provide technical leadership, mentorship, and guidance to junior and mid-level engineers, championing engineering best practices and architectural standards
• Troubleshoot, optimize, and maintain deployed models and pipelines to ensure high availability, scalability, and performance in production environments
• Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement within the engineering lifecycle

Requirements

• Bachelor's degree in Computer Science, Engineering, or related quantitative field (or equivalent global degree)
• 10+ years of experience in Software Development industry
• 2+ years of AI/ML engineering experience, with a proven track record of designing, building, and deploying ML models in a production environment
• 2+ years of experience with Python and core ML libraries
• 2+ years of experience building and automating end-to-end MLOps pipelines (e.g., using MLflow, Kubeflow, Airflow, or cloud-native tooling)
• Experience with cloud platform environments (e.g., Azure, AWS, or Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes)
• Solid knowledge of software engineering best practices, including version control (Git), CI/CD pipelines, and unit testing

Preferred Qualifications

• Experience with Generative AI, Large Language Models (LLMs), prompt engineering, or retrieval-augmented generation (RAG) frameworks
• Experience with distributed computing frameworks (e.g., Spark, Ray) and high-performance computing
• Experience working in the healthcare sector, specifically in clinical or behavioral health technology domains
• Solid understanding of data engineering principles, relational and non-relational databases (SQL, NoSQL, Vector databases)
• Proven excellent communication and presentation skills, with the ability to explain complex technical AI/ML concepts to non-technical stakeholders

Benefits

Our mission of helping people live healthier lives extends to our team members. Learn more about our range of benefits designed to help you live well.

• Life

  • Resources and support to focus on what matters most to you, in every facet of your life.

• Emotional

  • Education, tools and resources to help you reduce and manage stress, build resilience and more.

• Physical

  • Health plans and other coverage to support wellness for you and your loved ones.

• Financial

  • Benefits for today and to help you plan for the future, including your retirement.

Pay

The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.