Technical Lead, Data Science

The Role Are you excited about applying AI to solve meaningful workforce challenges? We are seeking a hands-on Director of Applied AI and Machine Learning Engineering to help transform our 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. You will partner closely with data scientists and engineers while directly designing, building, and deploying production-grade AI capabilities.

About Fidelity

The People Analytics and Insights organization helps Fidelity make better decisions through data, analytics, and emerging technologies.

We are 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.

We partner closely with Human Resources, business leaders, and technology teams to deliver innovative products, advanced analytics, and AI-powered solutions.

Responsibilities

• You Bring You bring deep expertise in machine learning and software engineering along with a passion for translating complex business challenges into scalable AI solutions.
• Applying embeddings, semantic similarity, recommendation systems, search technologies, and graph intelligence to solve business problems.
• Leveraging LLMs, retrieval-augmented generation (RAG), and emerging AI capabilities.
• Developing scalable applications and services using Python and modern software engineering practices.
• Designing APIs and reusable AI services.
• Partnering with engineering teams to deliver reliable and secure solutions.
• Representative Technologies Python Machine Learning Frameworks Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Embeddings and Vector Search Knowledge Graphs Recommendation and Ranking Systems APIs and Production AI Services Preferred Experience Workforce, talent, HR, or enterprise analytics domains.

Requirements

• Fidelity will not provide immigration sponsorship for this position.
• Machine Learning and AI Building and deploying machine learning solutions in production environments.
• Bachelor’s degree or equivalent experience in Engineering, Computer Science, Mathematics, Statistics, Physics, or another quantitative scientific discipline.

Preferred

• Advanced degree is a plus.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications

Category: Data Analytics and Insights Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.