Senior Engineering Manager- AI Solutions

Summary

Join Aledade as a Senior Engineering Manager in AI Solutions to lead a team of senior ML Engineers in developing life-saving technology. You will build a high-performing team, drive technical solutions, set clear goals, and collaborate with stakeholders. The role requires strong technical leadership and experience in building scalable software. A BS/BTech in a related field and 10+ years of engineering experience, including 5+ years of managerial experience, are required. Preferred qualifications include experience in attracting and coaching engineers, communicating technical analysis, and strategic vision for AI/ML in healthcare. The position offers the opportunity to make a significant impact on improving mental and physical health for millions.

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

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

Preferred Qualifications

• 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