Principal Software Engineer

You will architect and continuously improve the frameworks, guardrails, and orchestration that let teams safely delegate work to AI software development agents at scale. Working across greenfield builds and modernization efforts, you leverage our platform approach, enterprise data lake, and strong AI harnesses to dramatically increase delivery throughput and quality. A qualified candidate is a deeply technical engineer with elite hands-on skills, sharp judgment about where AI creates leverage, and a track record of building tools and patterns that other engineers adopt. This role is critical because it defines and scales the AI-native way we build by multiplying the output of every team while keeping quality, security, and reliability high.

What You’ll Do

* Build, own, and continuously improve the AI harness - the frameworks, prompts, context pipelines, guardrails, and evaluation systems that let teams reliably delegate work to AI software development agents

* Design and operate agent delivery swarms, orchestrating multiple AI agents to execute complex build and modernization tasks in parallel with strong review, safety, and quality controls

* Act as a force multiplier for engineering teams embedding with them to accelerate delivery, unblock hard technical problems, and raise the ceiling of what AI-accelerated teams can produce

* Set technical direction and best practices for AI-native software delivery, and drive adoption of these patterns across multiple teams and products

* Provide technical mentorship and dotted-line leadership to junior engineers growing their skills in AI tooling, agent orchestration, and modern engineering practices

*Own architecture and design for AI-accelerated delivery systems partnering with central architecture teams on cross-cutting changes while retaining decision authority for the AI harness and agent tooling

* Establish evaluation, observability, and quality gates for AI-produced code ensuring agent output meets standards for correctness, security, reliability, and maintainability

* Integrate AI capabilities with CI/CD pipelines so agent-generated work flows through automated build, test, and safe-release processes (canary, blue/green, phased rollout)

* Leverage the enterprise data lake and platform services to ground agents in real context, power AI-driven features, and maximize reuse over rebuilding

* Drive both greenfield and modernization work through AI acceleration, sequencing where agent swarms deliver the most leverage and de-risking legacy change

* Evaluate and adopt emerging AI tools, models, and techniques prototyping rapidly and bringing proven approaches into production practice

What You’ll Bring

* 8+ years of hands-on software engineering experience with a track record of operating at a principal / staff+ technical level as an individual contributor

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field or equivalent practical experience

* Deep, current expertise building with AI development agents and agentic toolingdesigning AI harnesses, prompt/context pipelines, evaluation frameworks, and multi-agent orchestration ("swarms")

* Elite hands-on engineering skills across the full delivery lifecycle, with the ability to build tools and frameworks that other engineers adopt

* Strong architecture and system design skills able to own architectural decisions and partner effectively with central architecture teams

* Deep expertise in CI/CD and safe delivery practices (automated testing, canary, blue/green, phased rollouts, observability, secure delivery)

* Experience with platform / shared-services approaches and data lake / data platform capabilities, and a strong bias for reuse and leverage

* Proven ability to act as a force multipliermentoring engineers, influencing without authority, and driving adoption of new practices across teams

* Excellent technical communication and collaboration skills able to align diverse teams on AI-native delivery approaches

* A rapid-experimentation mindset staying current with emerging models/tools and translating them into production-grade practice responsibly

It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.