Title:  Lead, Artificial Intelligence 1

Job Title:  Lead, Artificial Intelligence

Job Code:  32272

Job Location: Palm Bay, FL; or  Greenville, TX; or  Anaheim, CA; or Camden, NJ

Schedule: 9/80 regular (Every Other Friday Off)

L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

About L3Harris Technologies:

L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers’ mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries.

Job Description:

The IMS Artificial Intelligence team is seeking a highly skilled AI/ML engineer with strong software development experience and experience in artificial intelligence and machine learning. This position is a developer role focused on building, deploying, and operationalizing AI/ML capabilities across the Segment. The ideal candidate will design, implement, optimize, and maintain production-grade AI/ML solutions that directly improve workflows, mission effectiveness, and employee experience.

This role is best suited for someone who enjoys coding, experimenting, solving complex problems, and delivering real AI solutions end-to-end.

Ability to obtain a US Security clearance is required.

Essential Functions:

AI/ML Solution Development & Implementation

• Design, build, train, test, and deploy AI/ML models across domains such as computer vision, NLP, task optimization, and data analytics.
• Develop production-ready software components, APIs, microservices, and automation tools that integrate AI/ML into enterprise systems and workflows.
• Implement and support end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.

Model & Data Optimization

• Optimize models for accuracy, latency, memory footprint, and operational reliability.
• Implement data preprocessing, transformation, and quality checks to ensure consistent data flow into AI pipelines.
• Conduct model retraining, fine-tuning versioning, and performance improvement as data and mission needs evolve.

AI Infrastructure, Tools & MLOps

• Leverage AI frameworks, toolkits, and cloud/on-prem infrastructure to operationalize models at scale.
• Develop and maintain CI/CD + MLOps workflows for automated training, deployment, and monitoring.
• Ensure AI solutions meet reliability, performance, and security requirements.

Cross-Functional Collaboration

• Work closely with software, data, security, and mission teams to integrate AI capabilities into existing applications and workflows.
• Communicate technical concepts clearly to non-technical users and collaborate to refine requirements.
• Contribute to technical documentation, design artifacts, and code reviews.

Qualifications

• Bachelor’s degree in Computer Science, 9+ years of relevant experience, or Master’s degree and 7+ years.
• Proven hands-on experience developing and deploying software applications including AI/ML models in production environments.
• At least 7 years of programming skills (e.g., Python, C++, Rust, Java) and proficiency with AI/ML libraries and frameworks.
• Experience with full AI lifecycle: data preparation, model development, validation, deployment, monitoring.
• Ability to translate mission or business requirements into functional AI solutions.
• Understanding of data pipelines, distributed training, optimization techniques, and deployment environments (cloud or on-prem).
• Strong collaboration and communication skills.

Preferred Additional Skills:

• Active Secret or higher security clearance.
• Experience applying AI/ML in aerospace, defense, ISR, maritime, or mission-critical environments.
• Familiarity with generative AI, LLMs, prompt engineering, RAG and Graph architectures.
• Hands-on experience integrating AI into enterprise software, workflows, or mission systems.
• Experience with MLOps tools such as MLflow, Kubeflow, Airflow, Sagemaker, or similar.
• Strong team player, communicator, and result-driven

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $129,500 MIN - $240,000 MAX. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $112,500 MIN - $209,500 MAX. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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