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Lead, Artificial Intelligence

Job in Anaheim, Orange County, California, 92808, USA
Listing for: L3Harris Technologies
Full Time, Seasonal/Temporary position
Listed on 2025-12-22
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Lead, Artificial Intelligence 1

Join to apply for the Lead, Artificial Intelligence 1 role at L3

Harris Technologies.

Job Title:

Lead, Artificial Intelligence 1

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)

Seniority level:
Mid-Senior level

Employment type:

Full-time

Job function:
Engineering and Information Technology

Industries:
Defense and Space Manufacturing

L3

Harris Technologies is dedicated to recruiting and developing 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. L3

Harris 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.

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.
  • Experienc…
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