Senior Engineering Manager - AI Data Platform
New
Remote, United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- 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. 7+ years of experience in data engineering and/or machine learning related technologies
- Required Skills
- DockerPythonArtificial IntelligenceKubernetesMachine LearningData engineeringMicroservicesRelationship buildingMLOpsDistributed 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.
- 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.
- Strong communication and relationship building skills, with experience influencing and aligning multiple stakeholders.
- 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.
- 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.
- 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.
- Familiarity with current AI/ML research trends and the ability to translate published advancements into practical healthcare applications.
- Proven track record of mentoring and developing AI/ML talent within engineering teams.
- Exceptional skills in working effectively with cross-functional teams, including product managers, designers, data scientists, and clinical staff.
- Ability to leverage data-driven insights to inform engineering and research roadmaps, resource allocation, and strategic planning.
- Ability to prioritize AI/ML platform features that meet business needs while maintaining security, scalability, and performance.
- Understanding of the fast-paced, dynamic environment of a startup is highly valuable.
Responsibilities
- 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.
- Build a high performing team by hiring and nurturing engineering talent.
- 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.
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