Senior Engineering Manager- AI Data Platform

Primary Duties:

• 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.

Minimum Qualifications:

• 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.

Preferred KSA’s:

• 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:

• 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.

Startup experience: Understanding of the fast-paced, dynamic environment of a startup is highly valuable.

Physical Requirements:

• Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.