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Jobs · Engineering · Georgia

Senior Principal Software Engineer - AI Governance

OneTrust · Atlanta, GA · 4 wk ago
Engineering$165k–$248k/yrFull-time

About the Role

As a Senior Principal Software Engineer, you will serve as a technical leader for OneTrust’s AI Governance platform, driving the design, scalability, and reliability of systems that enable enterprises to deploy and govern AI and LLM-powered applications responsibly. You will deeply understand how customers build, deploy, and operate AI systems, and translate those needs into secure, compliant, and observable platform capabilities.

Responsibilities

  • Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for OneTrust’s AI Governance product.
  • Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
  • Build features with RAG, agent workflows, and model orchestration.
  • Own technical design for critical systems, ensuring scalability, security, and reliability.
  • Maintain strong automated unit/integration test coverage and engineering standards (achieve at least 80% code coverage or per team standards).
  • Work closely with UX, Product Managers, Product Owners, and other developers to contribute to planning and grooming sessions and drive team discussions on system architecture and component design.
  • Partner with Product, UX, and Customer Success to understand customer AI use cases and governance needs.
  • Lead architecture discussions and technical planning.
  • Drive alignment across teams on platform design and priorities.
  • Contribute to sprint planning and delivery.
  • Reduce defects by identifying and addressing issues early in the development lifecycle.
  • Ensure critical and high-priority CIIs are delivered per SLA.
  • Promote early defect detection through strong design and testing.
  • Improve system monitoring, resilience, and operational maturity.
  • Set standards for clean, secure, and maintainable code.
  • Conduct thorough code reviews for distributed and AI-enabled systems.
  • Guide engineers on testing, automation, and AI system validation.
  • Help build high-performing teams by mentoring on new technical skills.
  • Influence technical strategy and long-term platform direction.
  • Build a culture of ownership, learning, and engineering excellence.

Requirements

  • Bachelor's or master's degree in computer science, Engineering, or related technical or business field.
  • 12+ years of professional software engineering/development experience.
  • Strong expertise in Java/J2EE, Spring, design patterns, microservices architecture, and cloud-native distributed systems.
  • Proven experience building production-grade agentic AI systems with robust tool-use, guardrails, and observability for enterprise-scale workloads.
  • Solid understanding of RAG pipelines, agent workflows, model orchestration, and evaluation practices.
  • Working experience with one or more AI platforms like Amazon SageMaker, Google Vertex, AWS Bedrock, etc.
  • Experience with Elasticsearch and data streaming tools like Kafka.
  • Good understanding of web services and SOA-related standards like REST/OAuth/JSON.
  • Moderate understanding of code and script (Python, Bash).
  • Good experience with SQL and NoSQL databases.
  • Agile development (Scrum, XP, or Pair Programming) experience.
  • Ability to use a wide variety of open-source technologies and cloud services.
  • Familiarity with public cloud providers such as Azure, Google Cloud, or AWS.

Nice to Have

  • Experience with different databases (Relational and document).
  • Familiarity with continuous integration and continuous deployment (CI/CD) tools.
  • Proficiency in Kubernetes, including cluster deployment, scaling, and management.
  • Background in enterprise, regulated, or security-focused environments.

Pay

For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is $165,000—$247,500 USD. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.

Schedule

We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position.

Benefits

  • Comprehensive healthcare coverage.
  • Flexible PTO.
  • Equity RSUs.
  • Annual performance bonus opportunities.
  • Retirement account support.
  • 14+ weeks of paid parental leave.
  • Career development opportunities.
  • Company-paid privacy certification exam fees.
  • Specific benefits differ by country.

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