Sr Associate Artificial Intelligence 20536
Sr Associate Artificial Intelligence 20536
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Job Description
Job Title: Senior Associate Artificial Intelligence
Job Code: 20536
Job Location: Melbourne FL or Remote
Job Schedule: 9/80: Employees work 9 out of every 14 days totaling 80 hours worked and have every other Friday off
Job Description: The L3Harris Enterprise Data and AI team is seeking an individual with strong working knowledge in application development artificial intelligence machine learning and generative AI to support the effective development of key AI offerings and capabilities. This role includes overseeing enterprise AI services ensuring adherence to security standards building AI solutions in cloudbased environments and ensuring AI integration with reliable data.
This position will support the organizations AI/ML frameworks focusing on AI design development documentation and user training. The goal is to ensure seamless adoption of AI into all possible work streams thus directly impacting the lives of all employees.
Essential Functions:
- Design build and maintain robust AI/ML solutions to ensure reliable decisionmaking across the enterprise.
- Sustain AI enterprise offerings by orchestrating workflows and monitoring the overall health of AI solutions to ensure continuous availability and performance.
- Create update and optimize AI models datasets and transformations to align with business needs.
- Troubleshoot and resolve issues ensuring consistent and correct data flow from source systems.
- Collaborate with crossfunctional teams to uphold security standards and ensure accurate data is available for use.
- Utilize AI/ML frameworks (e.g. PyTorch TensorFlow) to establish data connections to source applications by extracting and loading data that meets functional and technical specifications.
- Utilize software frameworks such (e.g. Semantic Kernel Prompt Flow LangChain) to integrate LLMs into applications.
- Develop and manage AI model cleansing consolidation and integration mechanisms to support big data analytics at scale.
- Build visualizations using AI tools and assist business users with testing troubleshooting and documentation creation including AI service maintenance guides.
Qualifications:
- Bachelors Degree and a minimum of 2 years of prior related experience or 2 years postSecondary/ Associates Degree and a minimum of 6 years of prior related experience. Graduate Degree or equivalent with 0 to 2 years of prior related experience lieu of degree minimum of 6 years of prior related experience.
- 1 year of experience with designing and deploying AI solutions using cloud platforms such as Azure and/or Palantir.
Preferred Additional Skills:
- Proficiency in Python JavaScript TypeScript C# or other scripting languages for AI/ML processing and automation.
- Experience with Microsoft tools such as Azure Data Factory (ADF) AI Search and Document Intelligence is highly desirable.
- Experience working in GCCH Azure Environment.
- Knowledgeable in API integration and development.
- Experience with Agile principles and development processes.
- Excellent interpersonal and effective communication skills.
- Passionate about continuous learning and enjoy working in a fast paced dynamic team environment.
- Certified Microsoft Azure AI Engineer.
In compliance with pay transparency requirements the salary range for this role in Colorado State Hawaii Illinois Maryland Minnesota Vermont and New York State is $72000$133500. For California Seattle Washington D.C. Maryland Greater Washington D.C. area the city of Denver Washington State and New York City the salary range for this role is $82500$153500. 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 companypaid 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.
#LINR1
Required Experience:
Senior IC
Employment Type
Full Time
