AI Principal Engineer

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and delivery of complex, production-grade AI solutions that drive meaningful business outcomes. This role serves as a senior technical leader across multiple initiatives, owning significant platform components and domains while influencing architecture, engineering standards, and solution quality. Operating with a high degree of independence, the AI Principal Engineer partners closely with product, engineering, data, and governance stakeholders to deliver scalable, reliable, and secure AI solutions in a highly regulated environment. This role plays a critical part in ensuring AI capabilities are aligned to enterprise standards, responsible AI principles, and long-term business objectives. This role is fully remote, with no regular in-office requirement.

Responsibilities

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services; Own technical direction for major AI platform components, products, or functional domains; Establish and drive engineering best practices for model evaluation, validation, testing, monitoring, and operationalization; Partner with product, business, and data stakeholders to translate business requirements into scalable AI solutions; Contribute to architectural decisions related to model selection, system integrations, API design, and platform scalability; Ensure AI solutions comply with enterprise standards for security, privacy, governance, and responsible AI; Mentor and guide engineering team members while promoting technical excellence and engineering quality; Identify technical risks, dependencies, and implementation challenges, and develop appropriate mitigation strategies; Drive delivery outcomes across multiple initiatives while maintaining high standards for reliability, performance, and maintainability; Influence engineering practices and contribute to continuous improvement across AI development and deployment processes

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field required; Significant experience designing, developing, and delivering production AI/ML systems; Experience deploying, operationalizing, and maintaining AI/ML models in production environments; Strong proficiency in programming languages such as Python, TypeScript, or Rust; Experience with AI/ML frameworks, large language model (LLM) technologies, and modern data pipelines; Deep understanding of model lifecycle management, MLOps practices, and production reliability principles; Demonstrated success leading complex technical initiatives with significant business impact; Strong analytical, problem-solving, and systems-thinking capabilities; Proven ability to collaborate effectively across technical and non-technical disciplines

Nice to have

Advanced degree in Computer Science, Engineering, Mathematics, or a related field preferred; Experience building and supporting enterprise-scale generative AI solutions; Experience with retrieval-augmented generation (RAG), vector databases, and AI orchestration frameworks; Familiarity with cloud-native AI platforms and modern distributed system architectures; Experience operating within regulated industries and governance-focused environments; Knowledge of responsible AI frameworks, model risk management, and AI compliance practices; Experience mentoring engineers and influencing technical strategy across multiple teams

Benefits

Health, dental, vision and life insurance plans; 401(k) Savings plan – with generous company matching contributions (up to 6%); Voya Retirement Plan – employer paid cash balance retirement plan (4%); Tuition reimbursement up to $5,250/year; Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day; Paid volunteer time — 40 hours per calendar year