Technical Lead, Data Science

Fidelity • Westlake, TX

2d

About The Position

Fidelity is seeking a hands-on Director of Applied AI and Machine Learning Engineering to help transform its workforce intelligence platform into intelligent products and experiences. This senior individual contributor role combines machine learning, software engineering, knowledge graphs, and generative AI to deliver scalable business solutions. The role partners closely with data scientists and engineers while directly designing, building, and deploying production-grade AI capabilities.

The People Analytics and Insights organization helps Fidelity make better decisions through data, analytics, and emerging technologies. The team is building a workforce intelligence platform that connects workforce data, skills, experiences, organizational relationships, and AI capabilities to enable better decisions and experiences for associates, managers, and business leaders. It partners with Human Resources, business leaders, and technology teams to deliver innovative products, advanced analytics, and AI-powered solutions.

Fidelity will not provide immigration sponsorship for this position. Fidelity’s business is subject to financial and securities laws and regulations that may restrict hiring or association with individuals with certain criminal histories. Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Onsite expectations vary by role and location and may evolve; the transition does not apply to fully remote roles.

Requirements

• Deep expertise in machine learning and software engineering.
• Passion for translating complex business challenges into scalable AI solutions.
• Experience building and deploying machine learning solutions in production environments.
• Experience developing scalable applications and services using Python and modern software engineering practices.
• Bachelor’s degree or equivalent experience in Engineering, Computer Science, Mathematics, Statistics, Physics, or another quantitative scientific discipline.

Nice To Haves

• Experience in workforce, talent, HR, or enterprise analytics domains.
• Advanced degree.

Responsibilities

• Design, build, and deploy production-grade AI capabilities.
• Build and deploy machine learning solutions in production environments.
• Apply embeddings, semantic similarity, recommendation systems, search technologies, and graph intelligence to business problems.
• Leverage large language models, retrieval-augmented generation, and emerging AI capabilities.
• Develop scalable applications and services using Python and modern software engineering practices.
• Design APIs and reusable AI services.
• Partner with engineering teams to deliver reliable and secure solutions.
• Collaborate closely with data scientists and engineers to deliver scalable business solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior