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Twenty-Six Defense is seeking a Senior Algorithm/AI Engineer to design, develop, and optimize advanced AI models for defense and related sectors. You will drive technical innovation, mentor engineers, and align solutions with business and ethical standards.
You will lead end-to-end ML/AI development, evaluate new techniques, and collaborate with data engineering, product, and stakeholders to deploy robust, compliant AI systems. Prior experience in production-grade AI is required.
Twenty-Six Defense, headquartered in Fort Worth, Texas, is a leading provider of high-performance products, system solutions, and aftermarket support services focusing on the defense, homeland security, and commercial aviation markets. With facilities throughout the U.S., Twenty-Six Defense supports those who contribute to the national security of the United States. Twenty-Six Defense is wholly owned by Elbit Systems Ltd. (NASDAQ: ESLT and TASE: ESLT), a global high-technology company engaged in a wide range of programs for innovative defense and commercial applications.
The Senior Algorithm/AI Engineer is responsible for designing, developing, and optimizing advanced algorithms and AI models to solve complex business challenges. This role drives technical innovation, provides expert guidance to project teams, and ensures alignment with business objectives and ethical standards.
This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. The employer has the right to revise this job description at any time. The job description is not an employment contract. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. Twenty-Six Defense is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.
*For Virginia-based positions only* In accordance with Virginia DOL requirements, the listed salary range reflects the anticipated base pay range for this role. Actual compensation will be determined based on factors including skills, experience, education, certifications, business needs, internal equity, and geographic location. Compensation may vary in different locations based on market conditions and cost-of-labor considerations.