Lead, Artificial Intelligence 1
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Job Location:
Palm Bay, FL - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 47000 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
- Bachelors degree in Computer Science 9 years of relevant experience or Masters 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 $129500 MIN - $240000 MAX. The salary range for this role in Colorado state Hawaii Illinois Maryland Minnesota New York state Cleveland Ohio and Vermont is $112500 MIN - $209500 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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About Company
L3Harris is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers’ mission-critical needs. We provide advanced defense and commercial technologies across air, land, sea, space and cyber domains. We bring speed, innovation and f ... View more
