Sr Specialist, Artificial Intelligence

Job Title

Sr Specialist, Artificial Intelligence

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

9/80 regular (Every Other Friday Off)

L3

Harris Technologies is an agile global aerospace and defense technology innovator, delivering end‑to‑end solutions that meet customers’ mission‑critical needs. With customers’ mission‑critical needs always in mind, our employees deliver end‑to‑end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

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.

• 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
  • 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.

• Bachelor’s degree in Computer Science, 6+ years of relevant experience, or Master’s degree and 4+ years.
• Proven hands‑on experience developing and deploying software applications including AI/ML models in production environments.
• At least 3 years of programming skills (e.g., Python, C++, Rust, Java) and proficiency with AI/ML libraries and frameworks.
• Understanding of data pipelines, distributed training, optimization techniques, and deployment environments (cloud or on‑prem).
• Strong collaboration and communication 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 $107,500 MIN - $190,000 MAX. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $92,500 MIN - $173,500 MAX. This is not a guarantee of compensation or salary;

final offer may vary based on experience and geographic location.

L3

Harris 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. Specific programs and options available may vary depending on date of hire, schedule type, and collective bargaining…