Senior Engineering Manager- AI Data Platform

Aledade, Inc. is focused on empowering primary care physicians with technology to improve patient health. The Senior Engineering Manager in the AI Data Platform will lead a team of senior AI and Data Engineers, driving technical solutions and collaborating with stakeholders to develop impactful AI-driven products.

Responsibilities:

• 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

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
• AI/ML: Startup experience: Understanding of the fast-paced, dynamic environment of a startup is highly valuable
• 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
• Technical Expertise: 7+ years of experience in data engineering and/or 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), orchestration tools, agentic AI infrastructure, 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