<div><span>As the Senior Engineering Manager, you will lead by being a highly technical leader who delivers high business impact on ML/AI projects of increasing dependencies and ambiguity. </span></div><div><br /></div><div><span>You will 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. </span></div><div><br /></div><div><span>At Aledade, we empower primary care physicians with technology to keep their patients healthy, preventing unnecessary hospitalizations.</span></div><h3>Primary Duties:</h3><ul><li>Build a high performing team by hiring and nurturing engineering talent.</li><li>Strong technical leadership - drive technical solutioning and building roadmaps.</li><li>Set aggressive and clear goals and remove all roadblocks for the team to achieve them.</li><li>Working seamlessly and collaboratively with stakeholders across Aledade to achieve business outcomes.</li><li>Work closely with engineering leaders to drive engineering excellence in our processes and systems.</li></ul><h3>Minimum Qualifications:</h3><ul><li>BS/BTech (or higher) in Computer Science, Engineering or a related field required.</li><li>10+ years of production-level experience as an engineer and technical lead building highly scalable and reliable software. </li><li>5+ years of managerial experience building and leading technical engineering teams.</li></ul><h3>Preferred KSA’s:</h3><ul><li>You have experience in attracting, hiring, and coaching world-class engineers including performance management.</li><li>You have experience in taking ownership of the technology decisions, while delegating and empowering team members.</li><li>You have experience communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.</li><li>You have strong communication and relationship building skills, with experience influencing and aligning multiple stakeholders.</li><div><br /></div><div>Domain specific Preferred KSA’s:</div><div>AI/ML:</div><li>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.</li><li>Technical Expertise:</li><li>7+ years of experience in machine learning related technologies, with a strong preference for Python.</li><li>Extensive experience in designing and implementing secure, scalable, and maintainable AI/ML platform architectures.</li><li>Proficiency in distributed systems, microservices, containerization technologies (e.g., Docker, Kubernetes), model training infrastructure, orchestration tools, and MLOps principles.</li><li>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.</li><li>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.</li><li>Research Orientation: Familiarity with current AI/ML research trends and the ability to translate published advancements into practical healthcare applications.</li><li>Mentorship: Proven track record of mentoring and developing AI/ML talent within engineering teams.</li><li>Collaborative Leadership: Exceptional skills in working effectively with cross-functional teams, including product managers, designers, data scientists, and clinical staff.</li><li>Data-Driven Decision Making: Ability to leverage data-driven insights to inform engineering and research roadmaps, resource allocation, and strategic planning.</li><li>Business Acumen: Ability to prioritize AI/ML platform features that meet business needs while maintaining security, scalability, and performance.</li><li>Startup experience: Understanding of the fast-paced, dynamic environment of a startup is highly valuable.</li></ul><h3>Physical Requirements:</h3><ul><li>Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.</li></ul>

Aledade

Senior Engineering Manager- AI/ML

Aledade

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