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[Remote] AI Principal Engineer

Remote · Portugal Full-time

Note: The job is a remote job and is open to candidates in USA. Voya Financial is committed to providing opportunities for a better financial future. The AI Principal Engineer is responsible for leading the design and delivery of AI solutions, collaborating with various stakeholders to ensure compliance with enterprise standards and drive meaningful business outcomes.

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

Skills

  • 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
  • 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

Company Overview

  • Voya Financial is a financial services company that specializes in the fields of retirement, investments, and insurance. It is a sub-organization of Venerable Holdings. It was founded in 2014, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is https://www.voya.com/.
  • Company H1B Sponsorship

  • Voya Financial has a track record of offering H1B sponsorships, with 1 in 2026, 1 in 2025, 4 in 2024, 2 in 2023, 1 in 2022, 5 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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