Principal Engineer - AI Products & Platform, Remote at Aledade (Remote)

Summary

Aledade is hiring a Principal Engineer - AI Products & Platform, Remote to join their Software Development team. This role blends high-level architectural influence with hands-on code contributions, tackling complex problems at scale and delivering capabilities that will define our company’s next chapter. Key skills: AI.

About the role

As a Principal Software Engineer, you’ll be one of the most senior technical leaders shaping the future of our AI-powered product ecosystem: from architecting the foundations of next‑generation agentic and AI‑enabled experiences, to scaling our platform to millions of users worldwide. Reporting to our SVP of Engineering and collaborating closely with our Distinguished Engineer, you’ll set technical direction across a broad horizontal product space, guide dozens of engineering teams, and build systems from V0 through V2 that are both innovative and production‑ready. This role blends high-level architectural influence with hands-on code contributions, tackling complex problems at scale and delivering capabilities that will define our company’s next chapter.

Primary Duties:

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.

Minimum Qualifications:

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)

Preferred Knowledge, Skills, and/or Abilities:

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

Physical Requirements:

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

Summary

About the role

Primary Duties:

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.

Minimum Qualifications:

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)

Preferred Knowledge, Skills, and/or Abilities:

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

Physical Requirements:

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

Principal Engineer - AI Products & Platform, Remote

Summary

About the role

Primary Duties:

Minimum Qualifications:

Preferred Knowledge, Skills, and/or Abilities:

Physical Requirements:

Related jobs

Principal Engineer - AI Products & Platform, Remote

Summary

About the role

Primary Duties:

Minimum Qualifications:

Preferred Knowledge, Skills, and/or Abilities:

Physical Requirements:

Related jobs