Lead AI Software Engineer, AI Platform – Architecture
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Job Description
Lead AI platform architecture and production systems for G-P, whose SaaS platform helps organizations build global teams. Improving engineering practices, cloud infrastructure, and AI delivery across teams.
Responsibilities:
- Define and evolve architecture and engineering practices across multiple teams
- Partner with Engineering Managers and technical leads on complex system-design decisions
- Lead technical designs, RFCs, architecture reviews, and critical code reviews
- Build and ship production systems across AI, backend, cloud, infrastructure, and full-stack applications
- Improve CI/CD, testing, observability, reliability, security, and developer experience
- Create reusable platforms, libraries, reference implementations, and paved roads for teams
- Help design and operate production AI systems, including model integration, orchestration, retrieval, evaluation, and monitoring
- Contribute to cloud infrastructure and resolve complex production issues
- Mentor engineers and raise technical quality through hands-on leadership
- Ensure engineering standards remain effective after introduction
- Lead engineering transformation from ad hoc features to scaled, robust systems
- Set up release lifecycle practices
- Improve technical design quality and consistency across teams
- Establish engineering guardrails, reduce repeated architectural mistakes and duplication, and improve developer velocity, reliability, and operational quality
- Serve as a trusted technical partner to Engineering Managers and senior engineers
Requirements:
- 15+ years of experience in architecture
- Founding Engineer experience with scaling startups
- Ability to influence multiple teams without formal authority
- Resourceful and independent, able to own and operate across teams and individual projects
- Strong experience designing, building, and operating production software systems
- Deep expertise in AI systems, backend or distributed systems, infrastructure, and cloud architecture
- Practical understanding of foundation models, inference, retrieval, orchestration, evaluation, latency, and cost
- Strong working knowledge of full-stack development
- Experience with Python, Go, TypeScript, Kubernetes, and major cloud platforms
Benefits:
- Competitive compensation
- Generous paid parental leave
- Flexible time off
- Spending accounts
- Medical insurance
- Dental insurance
- Vision insurance
- Sabbatical after 5 years
- Annual bonus for non-sales roles, dependent on individual and company performance
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