Senior Engineering Manager, AI/ML

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September 24

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Aledade, Inc.

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Healthcare Insurance • Enterprise

Aledade, Inc. is a public benefit corporation that operates as the largest network of independent primary care practices in the United States. The company specializes in Accountable Care Organizations (ACOs), which help primary care practices and health centers improve patient outcomes and generate sustainable revenue through value-based care solutions. Aledade offers data insights, support, and business solutions to achieve sustainability and clinical autonomy. It collaborates with a wide range of healthcare providers, including primary care practices, community health centers, and network ACOs, ensuring improved quality of care and patient satisfaction. With operations in 45 states and affiliations with over 20,000 clinicians serving more than 2. 5 million patients, Aledade is committed to reducing care fragmentation and enhancing the overall quality of life for clinicians and patients alike.

501 - 1000 employees

Founded 2014

⚕️ Healthcare Insurance

🏢 Enterprise

📋 Description

• Build a high performing team by hiring and nurturing engineering talent. • Strong technical leadership - drive technical solutioning and building roadmaps. • Set aggressive and clear goals and remove all roadblocks for the team to achieve them. • Working seamlessly and collaboratively with stakeholders across Aledade to achieve business outcomes. • Work closely with engineering leaders to drive engineering excellence in our processes and systems. • Lead a team of senior ML Engineers in the development of technology that saves lives and improves mental and physical health for millions of people. • Deliver high business impact on ML/AI projects of increasing dependencies and ambiguity. • Empower primary care physicians with technology to keep their patients healthy, preventing unnecessary hospitalizations.

🎯 Requirements

• BS/BTech (or higher) in Computer Science, Engineering or a related field required. • 10+ years of production-level experience as an engineer and technical lead building highly scalable and reliable software. • 5+ years of managerial experience building and leading technical engineering teams. • You have experience in attracting, hiring, and coaching world-class engineers including performance management. • You have experience in taking ownership of the technology decisions, while delegating and empowering team members. • You have experience communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training. • You have strong communication and relationship building skills, with experience influencing and aligning multiple stakeholders. • Strategic Vision: Proven ability to craft and execute a strategic vision for an AI/ML-focused team, particularly in applying AI-enabled workflows in healthcare/enterprise settings. Experience in aligning day-to-day AI/ML development efforts with long-term strategic goals. • 7+ years of experience in machine learning related technologies, with a strong preference for Python. • Extensive experience in designing and implementing secure, scalable, and maintainable AI/ML platform architectures. • Proficiency in distributed systems, microservices, containerization technologies (e.g., Docker, Kubernetes), model training infrastructure, orchestration tools, and MLOps principles. • Planning and Communication: Demonstrated experience in translating business objectives into technological roadmaps, aligning short-term actions with long-term strategic goals, and effectively communicating these plans to both technical and non-technical stakeholders. • Skilled at aligning short-term AI/ML initiatives with long-term strategic goals and communicating these plans effectively to both technical and non-technical stakeholders. • Research Orientation: Familiarity with current AI/ML research trends and the ability to translate published advancements into practical healthcare applications. • Mentorship: Proven track record of mentoring and developing AI/ML talent within engineering teams. • Collaborative Leadership: Exceptional skills in working effectively with cross-functional teams, including product managers, designers, data scientists, and clinical staff. • Data-Driven Decision Making: Ability to leverage data-driven insights to inform engineering and research roadmaps, resource allocation, and strategic planning. • Business Acumen: Ability to prioritize AI/ML platform features that meet business needs while maintaining security, scalability, and performance. • Startup experience: Understanding of the fast-paced, dynamic environment of a startup is highly valuable. • Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.