Principal Engineer, AI Native Quality – Safety

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $177k - $290k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Workiva

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $689.3k Venture Round on 2014-10

Consulting • Healthcare • Logistics

Workiva is a comprehensive platform designed for corporate reporting, ESG, audit, and risk management. It offers integrated reporting solutions that connect data, unify processes, and empower teams to focus on value-added work. Over 6000 international companies trust Workiva for its ability to streamline workflows and provide a single source of truth for financial and non-financial data. The platform incorporates cutting-edge technology, including AI and automation, to enhance security and compliance with current and future regulatory requirements. Workiva's solutions are tailored to various sectors, including banking, insurance, and investments, and the platform supports teams in accounting, finance, audit, risk, and sustainability.

📋 Description

• Partner with engineering, platform, InfoSec, SRE, and Compliance teams to build layered safety controls • Build pre-production verification, including evals, invariant tests, and risk-based test selection • Build automated safety valves into development and delivery • Lead the “Ratify Continuously, Expose Deliberately” model with continuous shadow soak, ratified releases, and deliberate per-tenant exposure • Define system invariants and design controls that make prohibited states unreachable • Build agentic systems to quarantine flaky tests and move full suites to nightly runs • Frame ambiguous safety problems and propose original solutions • Increase agent autonomy as verification improves • Design risk-based evaluation approval of pull requests • Enforce integrity-protected channels using signed sources and permission brokers • Ensure agents have no authority over their guardrails, including CI gates, branch protection, and audit loggers • Require privileged actuators to independently verify agent claims before acting • Test, monitor, and observe AI models in real environments, with containment and rollback for unsafe behavior • Raise the technical bar by making quality the default • Mentor and challenge Staff+ engineers • Partner with engineering and product leadership to balance velocity with production risk • Create runbooks, decision logs, and tests that can be handed off and evolved • Contribute across product domains

🎯 Requirements

• 8+ years of experience building and scaling complex software systems • Bachelor’s degree in Computer Science, Information Security, or a related field; or 6+ years and a Master’s degree; or a PhD with 4+ years of experience; or equivalent practical experience • Demonstrated experience using AI as a primary development collaborator • Experience designing safety-critical, high-assurance, or redundant systems • Experience building CI/CD and test infrastructure at scale • Experience designing evals for LLMs or AI agents • Experience with observability and monitoring for production systems • Experience with least-privilege access, signed provenance, and policy-as-code • Experience with progressive delivery, including canary releases, traffic mirroring, and automated rollback • Experience with TDD, BDD, load, stress, chaos, invariant, or mutation testing • Experience working in a highly regulated industry, such as financial services • Proven success leading large, cross-pillar technical initiatives • Strong written communication skills and a habit of creating durable, useful artifacts • A leadership style that empowers others rather than creating dependency • A strong quality bar for AI-generated output • Reliable internet access when working remotely outside a Workiva office

🏖️ Benefits

• A discretionary bonus typically paid annually • Restricted Stock Units granted at time of hire • 401(k) match • Comprehensive employee benefits package • Flexible work location: office or remotely from any location within the employee’s country of employment • Reasonable accommodations for applicants with disabilities

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