Principal Engineer - AI Products & Platform, Remote

Aledade is a public benefit corporation focused on empowering independent primary care. As a Principal Software Engineer, you will lead the technical direction of AI-powered products, architect complex systems, and mentor engineering teams to deliver scalable solutions.

Responsibilities:

• Architect complex systems and make critical technical decisions
• Solve challenging technical problems with innovative solutions
• Mentor engineers and promote engineering excellence across teams
• Align technical strategies with business goals through cross-functional collaboration
• Contribute to technical roadmaps and strategic planning
• Evaluate new technologies and lead innovation initiatives

Requirements:

• BS/BTech (or higher) in Computer Science, Engineering or a related field required
• 10+ years of production-level experience as an engineer building highly scalable systems
• 6+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
• 4+ years of experience working with SQL or other database querying languages on large multi-table data sets
• Experience architecting, developing, and deploying large-scale distributed systems at scale
• Experience with cloud technologies, e.g., AWS, Azure, GCP
• Experience building continuous integration and continuous development (CI/CD) pipelines
• Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
• 10+ years of engineering experience architecting and scaling reliable backend or platform systems for millions of users
• Proven track record in V0, V1, and V2 architecture and delivery - guiding large teams (50+ engineers) across multiple product areas
• Strong background in architecting or implementing AI-driven features - with the ability to translate AI capabilities into scalable, user-facing products
• Experience designing platform and API ecosystems that serve broad horizontal product spaces
• Deep hands-on expertise with cloud infrastructure (AWS preferred), event streaming (Kafka), and large-scale database systems
• Expertise in containerization/orchestration technologies (Docker, Kubernetes) and modern CI/CD pipelines
• Experience engineering systems for scalability, high availability, and security — with a focus on sensitive or regulated data
• Familiarity with database replication, sharding, and other techniques critical to distributed systems performance and resiliency
• Ability to lead and mentor senior engineering talent, shaping architecture decisions and technical direction across multiple teams
• Demonstrated success evaluating and adopting emerging technologies to drive company-wide technical strategies