Director of AI/ML Engineering - Remote Nationwide or Hybrid in MN/DC
About The Position
As a Director of AI/ML Engineering within our team, you will lead a highly skilled engineering team focused on building, deploying, and scaling robust AI and machine learning systems. You will collaborate with cross-functional partners to drive strategic innovation, implement modern MLOps pipelines, and deliver high-impact AI capabilities that directly improve health outcomes. In this role, you will have the opportunity to leverage cutting-edge technologies, design scalable architectures, and shape the future of healthcare technology on an enterprise scale. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week.
Requirements
- 9+ years of software engineering experience
- 5+ years of experience leading, managing, or mentoring technical engineering teams (direct people management or lead architect/delivery lead experience)
- 4+ years of hands-on experience designing, building, and deploying AI/ML solutions, including LLMs, Generative AI, and traditional ML models
- 3+ years of experience with MLOps practices, including ML pipeline orchestration, model monitoring, and automated deployment (CI/CD)
- 3+ years of experience working with major cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
- 3+ years of experience with security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
Nice To Haves
- Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent experience)
- Experience in healthcare or another highly regulated industry
- Experience implementing Responsible AI frameworks, AI safety protocols, and governance standards
- Proven excellent communication and stakeholder management skills, with the ability to articulate complex technical concepts to non-technical business leaders
- Solid proficiency in programming languages such as Python, PyTorch, TensorFlow, or other modern ML frameworks
Responsibilities
- Provide strategic direction and technical leadership for the AI/ML engineering team, strategically using AI to solve complex business problems, unlock new opportunities, and deliver tangible business value
- Manage, mentor, and grow a high-performing team of AI/ML engineers, aligning hiring with technical and AI competencies, setting clear developmental goals, and actively removing barriers to accelerate adoption
- Champion AI as a core driver of team success, proactively shaping how AI models and systems are developed, deployed, and utilized across the organization
- Champion the ethical use of AI by embedding transparency, fairness, accountability, and robust governance throughout the entire AI/ML system lifecycle
- Drive the design, architecture, and deployment of scalable, production-grade AI/ML pipelines and modern MLOps practices, including automated testing, continuous integration/deployment (CI/CD), and model monitoring
- Collaborate with data science, product, and business partners to translate cutting-edge AI advancements and business opportunities into reliable, production-ready capabilities
- Standardize engineering practices across the team, ensuring high code quality, system performance, and integration with robust security protocols
- Evaluate emerging AI/ML technologies, tools, and methodologies to drive continuous innovation and streamline engineering workflows
Benefits
- a comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
Associate degree
