AI Implementation Analyst

AI Implementation Analyst

** Date:
** Jul 1, 2026

*
* Location:

** Charlotte, NC, US, 28216

** Company:
** Corning

Requisition Number: 76054

** The company built on breakthroughs. ​ *
* ** Join us.​ *
* Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.  ​ 

How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward. ​ 

​At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.​  

​Come break through with us. 

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.

This segment is classified into two main product groupings - carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

** Role Purpose*
* As a Senior AI Implementation Analyst, you will serve as a hands-on AI builder and enablement specialist within the Business Intelligence team's AI Implementation group. You will work closely with market intelligence teammates, competitive intelligence practitioners, data scientists, and business stakeholders to design, build, and deploy practical AI solutions that help domain experts do their jobs better and faster - at scale.

This role is focused squarely on implementation: translating ambiguous business intelligence challenges into working AI solutions, not theoretical research. The core problems this team solves - ingesting large volumes of market and competitive intelligence, synthesizing signals across disparate sources, and surfacing conclusions that require reasoning and judgment - are not purely algorithmic. They require AI systems that can reason about complex, nuanced information the way an experienced analyst would.

Your job is to build those systems, own them end-to-end, and ensure domain experts can trust and use what you deliver. This role reports directly to the Director of AI Implementation & Forecasting within the Business Intelligence organization.

** Key Responsibilities*
* + Design, build, and deploy agentic AI solutions - including multi-agent architectures, workflow sequencing, and tool selection - that enable the Business Intelligence team to ingest, synthesize, and reason across large volumes of market intelligence, competitive intelligence, and external data at scale; determine which tasks are best suited to AI versus human judgment.

+ Architect and manage AI knowledge bases and retrieval systems - including design, chunking strategy, embedding approaches, and ongoing curation - ensuring AI systems have access to the right information and reason from it reliably.

+ Evaluate and select the most appropriate AI tools, frameworks, and models for each implementation problem; understand the tradeoffs across available options and match the right solution to the specific use case rather than defaulting to a single approach.

+ Partner closely with market intelligence and competitive intelligence teammates to understand their workflows, translate their domain expertise into AI system requirements, and build solutions that fit naturally into how they work.

+ Build and maintain structured evaluation and testing frameworks for AI solutions, including test case development, output scoring, failure mode documentation, and quality benchmarks that can be tracked over time.

+ Support AI solution onboarding and change management for BI team members,…