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Corning

Specialty glass, ceramics, and tech components

Lead AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMonterrey, Nuevo Leon, MexicoNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical discipline.
  • At least 7 years of relevant experience in software engineering, AI engineering, application development, platform engineering, automation, integration development, or related technical solution delivery.
  • Experience leading technical work, guiding engineers, coordinating projects, or providing architecture and technical direction.
  • A strong background with Python or strong technical understanding of Python-based development.
  • Experience working with APIs, JSON payloads, integrations, application development, and service-based solutions.
  • Experience with AI-enabled applications, LLM-based solutions, chatbots, retrieval-augmented generation (RAG) solutions, agents, automations, or model-connected workflows.
  • Experience applying Agile methodology in technical delivery environments.
  • Ability to create technical vision, architecture, and implementation direction for complex solutions.
  • Strong communication skills to partner with technical teams, business stakeholders, and leadership.
  • Ability to mentor engineers and help improve engineering practices.
  • Advanced English communication skills.

Responsibilities

  • Guide the design, development, implementation, and support of AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical Communications.
  • Provide technical direction for enterprise AI solutions through architecture, application development, Python, APIs, LLM-enabled solutions, Agile delivery, and platform integration.
  • Guide AI Engineers and Senior AI Engineers while supporting scalable, maintainable, and business-focused AI capabilities.

Desired Qualifications

  • Experience leading enterprise AI, generative AI, chatbot, RAG, or AI assistant initiatives.
  • Experience with Model Context Protocol (MCP) development or agentic AI solution patterns.
  • Experience with Databricks or Databricks Genie Spaces.
  • Experience with model-serving endpoints or managed AI services.
  • Experience with prompt engineering, orchestration patterns, or AI workflow automation.
  • Experience with ChatGPT, Claude, Copilot, Codex, or similar AI-assisted development tools.
  • Cloud experience with Azure, AWS, or Google Cloud Platform (GCP).
  • Experience defining reusable architecture patterns, technical standards, or engineering governance.
  • Experience in manufacturing technology, enterprise software, automation, workflow platforms, internal productivity platforms, or cloud/data platform engineering.
  • People management, technical lead, or project leadership experience.

About the Company

Corning

Specialty glass, ceramics, and tech components

Corning develops and manufactures specialty glass, ceramics, and related components for a range of industries. Its engineered glass and ceramic materials are produced and integrated into devices and systems such as smartphone screens, high‑performance displays, optical networks, automotive emissions controls, and life‑science equipment. The company differentiates itself with a broad portfolio across multiple markets, material science expertise, reliable supply, and end‑to‑end components and systems. Its goal is to help customers achieve performance and reliability by providing durable, high‑quality materials and connected solutions that scale with growing demand.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Corning, NY
Founded
1851

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