Sr. Lead AI Engineer

Company

Cox Enterprises

Job Family Group

Information Technology

Job Profile

Sr Lead Enterprise Applications Engineer

Management Level

Sr Manager - Non People Leader

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

No

Work Shift

Day

Compensation

Compensation includes a base salary of $131,600.00 - $219,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

Job Description: The Cox Enterprises Intelligent Automation & AI Solutions team is seeking a highly skilled and experienced Sr. Lead AI Engineer with a strong background in AI platform/solution support, generative use case & PoC development, generative & operational AI assessments, core generative platform development & support, AI evolving skillsets & learning paths, and AI governance & oversight. The ideal candidate will be responsible for designing, implementing, and managing AI solutions using Microsoft Azure, Microsoft Fabric, Azure AI Foundry and Copilot Studio. You will work closely with cross-functional teams to ensure the successful delivery of AI-driven projects. 

This is an Atlanta-based role and candidates must be willing to work in a hybrid work setting with a few days per week in the office. 

 

Key Responsibilities: 

AI Platform / Solution Support: 

• Lead the design, development and deployment of AI solutions using Microsoft Azure, Microsoft Fabric, Azure AI Foundry, Copilot Studio and Azure ML platforms. 

• Provide technical support and troubleshooting for AI platforms to ensure optimal performance and reliability. 

• Collaborate with Architecture, Engineering and Data science teams to integrate AI models into existing systems. 

Generative Use Case & PoC Development: 

• Develop and implement generative AI use cases and proof-of-concept (PoC) projects. 

• Work with stakeholders to identify and prioritize generative AI opportunities. 

• Create and test generative AI models to demonstrate their feasibility and value. 

Generative & Operational AI Assessments: 

• Conduct assessments of generative and operational AI models to ensure their effectiveness and alignment with business goals. 

• Evaluate AI models for performance, accuracy, and scalability. 

• Provide recommendations for improving AI models based on assessment results. 

Core Generative Platform Development & Support: 

• Lead the development and support of core generative AI platforms. 

• Ensure the scalability, reliability, and security of generative AI platforms. 

• Implement best practices for generative AI platform development and maintenance. 

AI Evolving Skillsets & Learning Paths: 

• Develop and implement learning paths for AI skill development within the organization. 

• Stay up-to-date with the latest advancements in AI technologies and methodologies. 

• Provide training and mentorship to team members to enhance their AI skillsets.