This position involves designing and developing advanced Machine Learning (ML) and trustworthy AI systems for large-scale enterprise platforms. The focus is on secure model development, AI safety, and cloud-scale ML infrastructure. The role requires collaboration with various teams to integrate AI safety and governance into enterprise architectures. The candidate will also mentor engineering teams on advanced ML algorithms and secure development practices.

• Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field and five years of experience as a Principal AI/ML Engineer, or a Master's degree and three years of experience.
• Experience developing ML platform applications for Cloud infrastructures such as AWS, Azure, Google, and IBM using agile methodologies.
• Demonstrated expertise in delivering scalable, secure, and distributed applications with robust Identity and Access Management (IAM) and encryption.

• Architect and implement AI/ML systems that support model training, inference, observability, and continuous monitoring across distributed cloud environments.
• Develop secure and trustworthy AI frameworks, including adversarial robustness pipelines and model governance mechanisms.
• Build and optimize agentic AI workflows that automate data pipelines and model lifecycle operations.
• Conduct performance, reliability, and robustness evaluations of AI systems under real-world constraints.
• Collaborate with cybersecurity, cloud engineering, and data science teams to integrate AI safety and model assurance into enterprise architectures.
• Deliver technical guidance and mentorship to cross-functional engineering teams on advanced ML algorithms and secure development practices.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.