Principal Software Engineer - Artificial Intelligence / Machine Learning

OneTrust•Atlanta, GA

47d•Hybrid

About The Position

Are you ready to shape the foundation for enterprise-wide AI adoption? We are seeking a highly skilled Principal Software Engineer - Back End to join our dynamic and geographically distributed Platform AI team. Our mission is to enable every business unit to leverage AI by building reusable, scalable backend services and infrastructure that serve as the backbone for AI-driven solutions. You'll play a crucial role in bridging our extensive enterprise Java codebase with new AI capabilities developed in Python, ensuring seamless integration, reliability, and performance at scale. As a Principal Back End Engineer, you will be at the forefront of designing and delivering core backend systems and APIs that power the next generation of AI features across the company. You'll architect and build robust, scalable services primarily in Java and Python, focusing on reusable components that accelerate AI feature adoption in diverse products and domains. Your work will directly enable other engineering teams to incorporate advanced AI into their workflows with minimal friction, driving our company's transformation into a truly AI-powered organization.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10+ years of professional software engineering experience, with a strong focus on frontend development.
Expert-level proficiency in HTML5, CSS, JavaScript, and TypeScript.
Hands-on experience with modern frameworks (Angular 8+, React, etc.).
Exposure to backend systems and a working understanding of Java and Python-based APIs.
Familiarity with integrating AI/ML-driven features and configuration-driven UIs (e.g., YAML).
Experience with public cloud platforms (Azure, GCP, or AWS).
Comfortable with DevOps, Continuous Integration/Deployment, and Test-Driven Development.
Strong communication skills and a collaborative mindset.

Responsibilities

Lead the design, implementation, and optimization of backend services and RESTful APIs using Java (Spring Boot, REST) and Python.
Build reusable, modular components and frameworks that make it easy for other teams to integrate AI capabilities into their products.
Develop robust interfaces for deploying, scaling, and managing Python-based AI/ML models and workflows within a predominantly Java backend ecosystem.
Ensure high standards of code quality, maintainability, and reliability through comprehensive unit, integration, and exploratory testing (≥80% coverage or as per team standards).
Leverage configuration-driven approaches (e.g., YAML) to facilitate flexible, scalable service orchestration and deployment.
Work closely with Front End, Data Science, Product, DevOps, and other engineering teams to deliver cohesive, end-to-end AI-enabled solutions.
Participate in technical planning, sprint grooming, and architectural design sessions to align backend work with overall platform goals.
Foster a collaborative environment where sharing knowledge and best practices across domains is the norm.
Proactively identify and troubleshoot backend issues, prioritizing system performance, reliability, and scalability.
Support and maintain legacy Java services while enabling seamless integration of new AI features and APIs.
Monitor, optimize, and document backend systems to ensure they meet SLAs and industry standards for uptime and performance.
Conduct thorough peer reviews, set high standards for code quality, and mentor junior developers on backend best practices.
Promote a culture of continuous improvement in development processes, testing, and automation.
Serve as a subject matter expert for backend architecture, integration patterns, and AI enablement.
Guide and mentor team members, fostering technical growth and ensuring the team remains current on emerging technologies and patterns.
Help build high-performing, collaborative teams that are passionate about delivering enterprise-scale AI solutions.