AI Principal Engineer

AI Principal Engineer (IC Director) The AI Principal Engineer (IC Director) role is responsible for leading the design and delivery of complex, production-grade AI systems with significant business impact. This role serves as a technical leader across multiple initiatives, owning major components or domains and influencing architectural direction, engineering practices, and solution quality. Profile Description Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval pipelines, and model-driven services. Own technical direction for major components or domains within AI platforms or products. Drive engineering best practices for model evaluation, testing, monitoring, and operationalization. Partner with product, data, and business stakeholders to translate requirements into scalable AI solutions. Contribute to architecture decisions, including model selection, system integration, and API design. Ensure solutions meet enterprise standards for security, privacy, and responsible AI. Mentor and guide engineers, contributing to team capability and engineering quality. Identify technical risks and implement appropriate mitigation strategies. Responsibilities Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval pipelines, and model-driven services. Own technical direction for major components or domains within AI platforms or products. Drive engineering best practices for model evaluation, testing, monitoring, and operationalization. Partner with product, data, and business stakeholders to translate requirements into scalable AI solutions. Contribute to architecture decisions, including model selection, system integration, and API design. Ensure solutions meet enterprise standards for security, privacy, and responsible AI. Mentor and guide engineers, contributing to team capability and engineering quality. Identify technical risks and implement appropriate mitigation strategies. Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred. Significant experience delivering production AI/ML systems, including model deployment and operationalization. Strong proficiency in programming languages such as Python, TypeScript, or Rust. Experience with AI/ML frameworks, LLM technologies, and data pipelines. Knowledge of model lifecycle management, MLOps, and production reliability practices. Demonstrated ability to lead complex technical initiatives. Strong problem-solving skills and ability to work across disciplines. Compensation Annual base salary range: $191,850 - $239,810 USD. 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. Equal Employment Opportunity Voya Financial is an equal‑opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law. Reasonable Accommodations Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities. #J-18808-Ljbffr Voya Financial, Inc.