Principal Software Engineer (AI Prism)

Perforce is a community of collaborative experts, problem solvers, and possibility seekers who believe work should be both challenging and fun. We are proud to inspire creativity, foster belonging, support collaboration, and encourage wellness. At Perforce, you’ll work with and learn from some of the best and brightest in business. Before you know it, you’ll be in the middle of a rewarding career at a company headed in one direction: upward.      With a global footprint spanning more than 80 countries and including over 75% of the Fortune 100, Perforce Software, Inc. is trusted by the world’s leading brands to deliver solutions for the toughest challenges. The best run DevOps teams in the world choose Perforce. All employees are expected to demonstrate AI fluency appropriate to their role and level, including responsible use of AI tools, sound judgment, and adherence to company AI governance and security policy standards. Come work with us! Our team members are valued for their contributions, introduced to new opportunities, and rewarded well. Perforce combines the experience and rewards of a start-up with the security of an established and privately held profitable company.   If you are passionate about the technology that impacts our day-to-day lives and want to work with talented and dedicated people across the globe, apply today!   www.perforce.com   Please click here for: EOE & Belonging Statements | Perforce Software

Responsibilities:

Own and operate the backend architecture of Perforce Prism, our internal AI platform. You are the technical owner of the platform's core infrastructure — including AI standard protocols and the AI services layer. You are accountable for reliability, observability, and performance in production, end to end. You'll partner closely with the teams owning MongoDB and ETL/orchestration infrastructure to ensure the platform's data and pipeline dependencies scale with it.

Lead the technical development strategy for Prism. Translate business and product requirements into scalable, secure AI platform designs. Establish patterns for AI pipelines, agent orchestration, and services that internal systems engineers and AI consumers can build on confidently - coordinating with adjacent infrastructure teams where the platform depends on their systems.

Continuously identify what's next. Stay ahead of the AI landscape. Proactively evaluate emerging models, frameworks, and tooling - and translate that into a prioritized roadmap of improvements that deliver real benefits: cost savings, efficiency gains, new capabilities.

Own AI efficiency and cost management for the Prism platform. Drive measurable improvements across inference cost, token usage, caching strategies, model selection, and prompt orchestration.

Govern AI responsibly. Implement AI governance frameworks and data stewardship practices aligned with SOX, SOC 2, PCI, PII, and data residency requirements. Partner with Security, Compliance, Legal, and Risk to ensure AI systems are trustworthy by design — not audited after the fact.

Work alongside AI support teams to raise technical capability across the group. Lead technical reviews, provide technical guidance, and help the team grow — without losing your own hands-on output.

Requirements:

10+ years of enterprise software development experience

Experience working with agentic/AI software development workflows

Strong proficiency in JavaScript and TypeScript, including modern ES6+ syntax and static typing patterns

Hands-on experience building and running server-side applications with Node.js (e.g., REST APIs, async I/O, package management via npm/yarn)

Hands-on experience with LLM APIs, prompt engineering, custom skill development, and multi-turn orchestration

Production experience building and maintaining AI standard protocols - server design, tool registration, and context management

Experience with orchestration platforms

Strong MongoDB expertise, schema design, vector/embedding storage, and aggregation pipelines for AI knowledge retrieval

Working knowledge of enterprise compliance requirements: SOX, SOC 2 Type II, PCI-DSS, PII handling, and data residency

Hands-on experience applying AI to business use cases, beyond purely technical or engineering applications- Demonstrated ability to drive AI adoption through training, documentation, and enablement programs

A track record of delivering cost and efficiency improvements through inference optimization, caching, or model routing

Strong communication skills, able to present technical architecture to non-technical stakeholders and write clearly for both audiences