Senior Principal Software Engineer - AI Governance

The Challenge 

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. 

Your Mission  

Development   

• 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 the revised standards set by the team 

Collaboration    

• Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team’s 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. 

Support    

• Reduce defects by identifying and addressing issues early in the development lifecycle.
• Ensure critical and high priority CII’s are delivered per SLA.  
• Promote early defect detection through strong design and testing.
• Improve system monitoring, resilience, and operational maturity. 

Code Review  

• Set standards for clean, secure, and maintainable code.
• Conduct thorough reviews for distributed and AI-enabled systems.
• Guide engineers on testing, automation, and AI system validation.

Lead  

• Help build high-performing teams by mentoring the team on new technical skills. 
• Influence technical strategy and long-term platform direction.
• Build a culture of ownership, learning, and engineering excellence. 

You Are  

A senior technical leader with strong system design and hands-on execution skills, who understands how enterprises use AI and LLMs in real-world workflows and can translate those needs into scalable, secure, and compliant platform solutions. 

Your Experience Includes   

• 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 elastic search and data streaming tools like Kafka.  
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