Senior Engineering Manager- AI Data Platform

Posted 13 Days Ago
Hiring Remotely in United States
Remote
Senior level
Healthtech
Aledade is the largest network of independent primary care.
The Role
Lead a team of senior ML Engineers in impactful AI/ML projects, focusing on healthcare technology and team development.
Summary Generated by Built In

As the Senior Engineering Manager in the AI Data Platform, you will lead by being a highly technical leader who delivers high business impact on AI projects of increasing dependencies and ambiguity. 


You will lead a team of senior AI and Data Engineers and partner with senior leaders across the organization to develop technology that saves lives and improves the mental and physical health of millions of people. The solutions your team builds will power AI-driven products that rely on high-quality data and rich context to unlock meaningful business value.


At Aledade, we empower primary care physicians with technology to keep their patients healthy, preventing unnecessary hospitalizations.

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.

Top Skills

Docker
Kubernetes
Mlops
Python
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The Company
HQ: Bethesda, MD
1,500 Employees
Year Founded: 2014

What We Do

Aledade is the largest network of independent primary care, enabling clinicians to deliver better patient outcomes and generate more savings revenue through value-based care. Aledade’s data, personal coaching, user-friendly workflows, health care policy expertise, strong payer relationships and integrated care solutions enable primary care organizations to succeed financially by keeping people healthy. Together with more than 1,900 practices and community health centers in 45 states and the District of Columbia, Aledade manages accountable care organizations that share in the risk and reward across more than 200 value-based contracts representing more than 2.5 million patient lives. To learn more, visit www.aledade.com or follow on X (Twitter), Facebook or LinkedIn.

Why Work With Us

At Aledade, we’re all about doing good for patients, practices and society - which is why we’re so passionate about value-based care and the work we do every day. Because we’re working to benefit all of society, we believe the best way to do so is to utilize all of our team members and their unique experiences, interests, backgrounds and beliefs.

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