Lead AI Engineer

Open Full-time 137,000–229,000 USD per year as stated in the posting

The Lead AI Engineer is a senior individual contributor and technical subject-matter expert responsible for designing, building, and delivering production-grade artificial intelligence and machine learning solutions at CFA Institute. The role applies advanced technical expertise to resolve complex engineering problems, contributes to the advancement of enterprise AI engineering best practices, and delivers AI enabled projects consistent with the organization’s strategic initiatives.

The Lead AI Engineer partners with Product, Data, Security, and business colleagues to translate business needs into scalable, secure, and responsible AI capabilities, and provides technical guidance to less-experienced engineers.

This role may be based in eligible US jurisdictions and reports to the Senior Director, AI Engineering.

• Lead the architecture, and delivery of production-grade AI and machine learning capabilities, integrating models, data pipelines, and AI-enabled product features in alignment with enterprise engineering standards and strategy
• Serve as a technical subject-matter expert in AI engineering, resolving complex design, performance, and reliability problems using advanced expertise and experience.
• Deliver medium-sized AI engineering projects, or larger projects of lower complexity, managing scope, schedule, risk, and quality, and managing budget where assigned.
• Balance multiple, sometimes competing, priorities across projects and stakeholders, and elevate matters of the highest complexity or consequence to the Senior Director.
• Apply engineering best practices, including MLOps, CI/CD for models, testing, observability, and secure development, and contribute recommendations that advance team standards and ways of working.
• Use sound judgment to adapt or work outside established processes when needed to achieve results, and communicate those decisions and their rationale to leadership.
• Diagnose and correct the most complex defects in AI applications, data pipelines, and model behavior, and support incident response and remediation.
• Contribute to the AI engineering roadmap by evaluating emerging technologies and recommending technical approaches that improve solution quality and better meet user needs.
• Partner with Product, Data, Security, Legal, Risk, and business stakeholders to define and document requirements and to support ethical, secure, and compliant AI deployment.
• Provide technical guidance, code review, and mentoring to less-experienced engineers, and oversee the quality of work produced by lower-grade colleagues on assigned projects, without formal people management responsibility.
• Maintain current knowledge of AI technologies, external regulation, and industry best practices through ongoing learning.

• Bachelor's degree required in computer science, data science, AI, engineering, or a related field; master's degree or equivalent experience preferred.
• 7+ years of progressive experience in software, data, or AI engineering, including delivery of production-grade AI or machine learning solutions in an enterprise environment.
• Advanced technical expertise in AI/ML engineering, application development, and the software development life cycle, including testing, versioning, and deployment.
• Demonstrated experience leading the delivery of medium-sized projects and providing technical guidance to other engineers; formal people management experience is not required.
• Demonstrated ability to resolve complex technical problems, balance competing priorities, and exercise sound judgment on when to elevate.
• Working knowledge of responsible AI, model governance, and security and compliance…