Lead, Artificial Intelligence

Position: Lead, Artificial Intelligence 1

Job Title

Lead, Artificial Intelligence

Job Code

32272

Location

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

Schedule

9/80 regular (Every Other Friday Off)

About L3

Harris Technologies

L3

Harris 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. L3

Harris 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.

Compensation & Benefits

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater

D.C, Denver,…