Technical Lead, Data Science

Soteria Reinsurance Ltd.; Texas; On-site; USD 140,000 - 230,000; Full time

Job summary

Fidelity Investments Inc. is seeking a hands-on Technical Lead, Data Science in Westlake, TX.

The role blends machine learning, software engineering, knowledge graphs, and generative AI to create scalable workforce intelligence products. You will partner with data scientists and engineers to design, build, and deploy production-grade AI capabilities that enable data-driven decisions for associates and business leaders.

Qualifications

• Hands-on experience building and deploying production ML/AI solutions.
• Experience applying embeddings, semantic similarity, and vector search to business problems.
• Familiarity with LLMs, RAG, and generative AI capabilities.
• Knowledge graphs and API-driven AI services are a plus.
• Ability to translate complex business challenges into scalable AI products.

Responsibilities

• Design, build, and deploy production-grade AI capabilities in the workforce analytics domain.
• Collaborate with data scientists and engineers to deliver scalable AI solutions.
• Develop APIs and services for reliable, secure production use.

Skills

ML/AI engineering

Python

LLMs

RAG

Knowledge graphs

Vector search

APIs

Education

Bachelor's degree in Engineering / CS / Math / Stats

Advanced degree a plus

Tools

Git

Docker

ML frameworks

Job description

Technical Lead, Data Science### Technical Lead, Data ScienceApply: Westlake, TX: Full time: Posted Today: 2137610**Fidelity will not provide immigration sponsorship for this position.**## ## Job Description:## **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. ## **The Expertise and Skills 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.## **Machine Learning and AI*** Building and deploying machine learning solutions in production environments.* 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.## **Software Engineering*** 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.## **Education*** Bachelor’s degree or equivalent experience in Engineering, Computer Science, Mathematics, Statistics, Physics, or another quantitative scientific discipline. Advanced degree is a plus. ## **The Team**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.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.