Lead AI Engineer
Indexed description
What do you need to have?
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related technical discipline.
- 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.
- 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, 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 with the ability to partner with technical teams, business stakeholders, and leadership.
- Ability to mentor engineers and help improve engineering practices.
- Advanced English communication skills.
- Experience leading enterprise AI, GenAI, chatbot, RAG, or AI assistant initiatives.
- Experience with 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 tools such as ChatGPT, Claude, Copilot, Codex, or similar AI-assisted development tools.
- Cloud experience with Azure, AWS, or 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.
What should we offer?
- Opportunity to help build and lead a growing AI engineering capability within Corning Optical Communications.
- Exposure to modern AI technologies, LLM applications, AI agents, chatbot/RAG solutions, automation, and enterprise integrations.
- A hybrid role based in Obispado, Monterrey, with most work expected to be remote and office presence as needed.
- Opportunity to define technical direction, architecture, and standards for scalable enterprise AI solutions.
- Ability to mentor engineers and influence how AI is adopted and scaled across the organization.
- Career growth in AI technical leadership, enterprise architecture, AI platform enablement, and digital transformation.
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.
Corning is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
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