Principal Software Engineer, Enterprise AI Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Software Engineer, Enterprise AI Platform based in United States.

This role is a high-impact principal engineering position focused on defining and building the foundational architecture for enterprise-scale AI systems powering next-generation developer experiences.
You will operate at the intersection of distributed systems, AI agents, platform infrastructure, identity, and governance, shaping how enterprise AI is securely and consistently delivered across products.
The position plays a critical role in designing the control plane and platform primitives that enable policy, permissions, spend management, and agent behavior at massive scale.
You will influence technical strategy across multiple engineering organizations, ensuring alignment between product vision and scalable system design.
This role requires deep expertise in distributed systems and platform architecture, combined with the ability to drive clarity in highly ambiguous problem spaces.
You will also mentor senior engineers and help raise the bar for architectural rigor and execution excellence across teams.
This is a highly strategic individual contributor role with broad technical influence across enterprise AI, developer tooling, and cloud-scale systems.

• Define and lead the architecture of a unified enterprise AI control plane covering models, agents, tools, permissions, policies, spend, and observability
• Design and build foundational platform primitives such as policy engines, governance SDKs, and extensible agent workflow frameworks
• Develop scalable distributed systems for policy enforcement, identity, auditing, spend control, and cross-client consistency
• Partner across IDE, CLI, agent, and platform teams to ensure consistent enforcement of policies through reusable APIs and SDKs
• Influence enterprise AI platform strategy and long-term technical direction across multiple engineering organizations
• Solve complex distributed systems challenges involving reliability, scalability, security, and performance at global scale
• Establish architectural standards and patterns that enable consistent AI behavior across all enterprise products and surfaces
• Mentor and guide senior engineers, raising engineering quality, systems thinking, and technical leadership across teams
• Drive alignment between product, platform, and infrastructure teams in a highly cross-functional environment
• Contribute to the evolution of developer platforms and enterprise AI adoption strategies at scale

Requirements:

• 11+ years of software engineering experience OR equivalent combination of education and experience in Computer Science or related fields
• Strong background in designing and operating large-scale distributed systems or cloud-native platforms
• Deep expertise in platform architecture including APIs, identity systems, policy engines, and infrastructure design
• Proven experience building developer platforms, AI systems, or large-scale enterprise-grade technical systems
• Strong proficiency in programming languages such as Go, Java, Python, C++, C#, Rust, or similar
• Demonstrated ability to lead cross-organizational technical initiatives and influence without direct authority
• Experience working in ambiguous, fast-moving environments with ability to define structure and clarity
• Strong understanding of system reliability, observability, security, and scalability principles
• Background in AI/ML systems, LLMs, or agent-based architectures is highly desirable
• Excellent communication and technical leadership skills with ability to align diverse stakeholders

Benefits:

• Competitive base salary ranging from 160,200 USD to 425,000 USD annually depending on experience and location
• Annual bonus eligibility and performance-based incentives
• Equity or stock-based compensation as part of total rewards package
• Comprehensive health, dental, and vision insurance coverage
• Flexible remote-first work environment across the United States
• Generous paid time off and company holidays
• Strong learning, development, and career growth opportunities
• Access to cutting-edge AI, platform, and developer tooling environments
• Inclusive and collaborative engineering culture focused on innovation and impact