Lead AI Applied Scientist

• Houston, Texas
• Information Technology
• Regular Full-Time
• The Friedkin Group
• 20%
• Yes
• 6558

Job Description

Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders.

Living Our Values

All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates, shareholders, and the communities in which we live.

Why Join Us

• Career Growth: Advance your career with opportunities for leadership and personal development.
• Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.
• Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards

Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set, experience, qualifications, and job-related requirements. Our comprehensive benefits package includes medical, dental, and vision insurance, wellness programs, retirement plans, and generous paid leave. Discover more about what we offer by visiting our Benefits page.

A Day In The Life

The Lead AI Applied Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation, maintenance, and continuous improvement of advanced data science and Agentic AI initiatives across business units, directly aligning with strategic objectives. This role encompasses transforming innovative ideas into real-world solutions through the application of sophisticated analytical techniques such as statistical processing, machine learning, deep learning, GenAI, and Agentic AI. The incumbent will lead and help develop a newly formed data science and AI engineering task force to deliver impactful analytical solutions and Agentic AI products, ensuring these innovations are seamlessly embedded into business operations to drive and streamline decision-making, enhance operational efficiency, and foster a culture of continuous improvement and innovation. As part of this role, the applicant will play a significant part in setting the AI and ML agenda for assigned business units and initiatives within The Friedkin Group, including working with business units to identify potential opportunities and defining standards and best practices for AI and ML at TFG.

As a Lead AI Applied Scientist you will:

• Translates business requirements into analytical and automation requirements to support data-driven decisions with the required information and explainability.
• Keep abreast of the latest data science and AI techniques and technologies. Explore and implement innovative solutions to improve data analytics, ML modeling capabilities, and business transformation using Agentic AI.
• Communicate complex data insights in a clear and effective manner to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven and AI-driven decision-making and business operations.
• Demonstrated ability to lead and manage data science projects, including managing workflows and priorities, to ensure the timely delivery of projects with high-quality outcomes.
• Lead the design and development of AI agents for diverse use cases. Make high-level architectural decisions to ensure agents are robust, scalable, and easily integrated into enterprise workflows. Oversee testing protocols to validate agent accuracy, reliability, and compliance with business requirements. Monitor agent performance, gather user feedback, and drive ongoing enhancements to agent capabilities.
• Manage use case design and lead a dedicated development team on a day-to-day basis, providing guidance and feedback as they develop and operationalize data science models, algorithms, and Agentic AI solutions to solve complex business problems.
• Work closely with product, engineering, and business teams to deliver innovative AI solutions.
• Ensure use case models, analytics, and Agentic AI solutions are supported, maintained, and improved (as needed) post-development and launch.
• Guide and sign off on analytics and modeling approaches, model deployment requirements, and quality assurance standards with input from use case teams and business leadership.
• Foster a culture of innovation and continuous improvement, and lead the exploration and adoption of new data science technologies and methodologies to contribute to the advancement of TFG’s analytics expertise.
• Work with