Lead AI Engineer

Corning Incorporated

Reynosa

Hybrid

MXN 1,000,000 - 2,000,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Global leader
Career development
Remote-friendly

Job summary

Corning Incorporated is seeking a Lead AI Engineer to drive AI-enabled solutions for Corning Optical Communications. You will lead architecture, guide engineers, and partner with business stakeholders to deliver scalable AI applications, agents, and integrations.

You will define patterns, support Agile delivery, and translate complex business needs into practical AI roadmaps while working in a hybrid setup across Monterrey or Reynosa.

Qualifications

  • Bachelor's degree in a technical field and equivalent experience.
  • 7+ years of software, AI engineering, or related leadership experience.
  • Strong background in Python, APIs, integrations, and AI-enabled solutions.
  • Experience guiding engineers, defining architecture, and delivering complex projects.
  • Familiarity with Generative AI, LLMs, AI agents, prompt engineering, and AI workflows.
  • Proven ability to plan, prioritize, and execute in Agile environments.
  • Excellent stakeholder management and English communication skills.

Responsibilities

  • Lead technical direction, architecture, and delivery for AI-enabled applications and integrations.
  • Guide engineers through design, development, testing, and implementation.
  • Define scalable integration patterns using Python, APIs, and enterprise platforms.
  • Translate business needs into practical AI solutions and delivery roadmaps.
  • Support Agile practices, reusable patterns, and continuous improvement across AI initiatives.

Skills

Python
APIs
JSON payloads
Integrations
LLM-enabled applications
Architecture
Technical leadership
Agile
English proficiency

Education

Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or related technical field

Job description

Are you ready to lead the development of enterprise AI solutions that create real business impact? Join Corning's COC Digital & IT team and help define the technical direction, architecture, and delivery approach for scalable AI-enabled applications, tools, and integrations.

What is your role?

As a Lead AI Engineer, you will provide technical leadership for the design, development, and delivery of AI-enabled solutions for Corning Optical Communications. This role is ideal for a hands-on technical leader who can guide engineers, define architecture, support Agile delivery, and help bring practical AI capabilities into enterprise environments. You will work closely with AI Engineers, Senior AI Engineers, technical teams, and business stakeholders to build scalable applications, integrations, agents, tools, and user-friendly AI solutions that support business transformation and OPEX optimization. Major responsibilities and tasks of the position:

Responsibilities
  • Lead the technical direction, architecture, and delivery approach for AI-enabled applications, tools, agents, workflows, and integrations.
  • Guide AI Engineers and Senior AI Engineers through solution design, development, testing, troubleshooting, documentation, and implementation. -
  • Define scalable and supportable integration patterns using Python, APIs, LLM-enabled applications, models, and enterprise platforms.
  • Partner with technical and business stakeholders to translate business needs into practical AI solutions and delivery roadmaps.
  • Support Agile practices, engineering standards, reusable patterns, and continuous improvement across AI initiatives.
What do you need to have?
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical field.
  • 7+ years of relevant experience in software engineering, AI engineering, application development, automation, integration development, technical leadership, or related roles.
  • Strong technical background with Python, application development, APIs, JSON payloads, integrations, models, or LLM-enabled applications.
  • Experience leading technical solution delivery, defining architecture, or guiding engineers through complex projects.
  • Familiarity with Generative AI, LLMs, chatbots, AI agents, RAG concepts, prompt engineering, or AI-assisted workflows.
  • Knowledge of Agile methodology and ability to support planning, prioritization, delivery, and technical execution.
  • Strong communication and stakeholder management skills with the ability to work across technical teams and business partners.
  • Advanced English communication skills.
Benefits Of Working For Corning
What we offer?
  • Great benefits above the law.
  • Opportunity to work with a global leader in materials science and optical innovation.
  • A growing technology environment that supports learning, innovation, and career development.Opportunity to lead enterprise AI initiatives involving LLM-enabled applications, AI agents, automation, and platform integrations.
  • Hybrid work model based in Monterrey or Reynosa, with most work expected to be remote and office presence as needed.

Equal opportunity employer.

Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodations related to disability or religion, please contact us at accommodations@corning.com

More About 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. At Corning, you can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and support the delivery of lifesaving medicines. Come break through with us.

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