Senior Engineering Manager- AI Solutions

Position Overview

• Location Type: Not specified
• Employment Type: Full Time
• Salary: Not specified

As the Senior Engineering Manager in AI Solutions, you will lead by being a highly technical leader who delivers high business impact on ML/AI projects of increasing dependencies and ambiguity. 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. At Aledade, we empower primary care physicians with technology to keep their patients healthy, preventing unnecessary hospitalizations.

Requirements

• Education: BS/BTech (or higher) in Computer Science, Engineering, or a related field required.
• Experience:
  • 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 Knowledge, Skills, and Abilities (KSAs):
  • Experience in attracting, hiring, and coaching world-class engineers including performance management.
  • Experience in taking ownership of the technology decisions, while delegating and empowering team members.
  • Experience communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
  • Strong communication and relationship building skills, with experience influencing and aligning multiple stakeholders.
  • AI/ML Specific:
    • 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 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 stakeholder.

Responsibilities

• Build a high-performing team by hiring and nurturing engineering talent.
• Provide strong technical leadership – drive technical solutioning and building roadmaps.
• Set aggressive and clear goals and remove all roadblocks for the team to achieve them.
• Work 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.

Application Instructions

• Not specified