Lead AI Engineer
Corning Incorporated2 months ago
Monterrey, MexicoStaff+
Responsibilities
- Lead the design, development, implementation, and support of enterprise AI-enabled applications, tools, agents, automations, and integrations.
- Define technical direction, architecture, standards, reusable patterns, and implementation guidance for scalable AI solutions.
- Guide AI Engineers and Senior AI Engineers across multiple initiatives and mentor engineers to improve engineering practices.
- Partner with business and technical stakeholders to translate business needs into practical AI solutions.
- Support Python-based applications, APIs, JSON integrations, model-connected workflows, and LLM-enabled solutions.
- Lead or support chatbot, RAG, conversational AI, agentic AI, and AI assistant integration initiatives.
- Evaluate tradeoffs involving scalability, performance, latency, cost, quality, supportability, and risk.
- Apply Agile methodology to organize work, manage priorities, and support technical delivery.
Requirements
- 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 hands-on experience with Python or strong technical understanding of Python-based development.
- Experience 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 and ability to collaborate with technical teams, business stakeholders, and leadership.
- Ability to mentor engineers and help improve engineering practices; advanced English communication skills.
- Preferred experience includes enterprise AI, GenAI, chatbot, RAG, AI assistant, MCP, agentic AI, Databricks, model-serving endpoints, managed AI services, prompt engineering, orchestration, AI workflow automation, cloud platforms, reusable architecture patterns, engineering governance, and technical or project leadership.
Benefits
- Opportunity to 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.
- 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 AI adoption and scaling across the organization.
- Career growth in AI technical leadership, enterprise architecture, AI platform enablement, and digital transformation.
Tech Stack
Categories
About Corning Incorporated
Corning Incorporated designs and manufactures specialty glass, ceramics, and optical materials for consumer electronics, communications networks, automotive emissions control, advanced displays, and life-science research. Core lines include Gorilla Glass and other specialty materials, display glass substrates, optical fiber and connectivity, emissions-control substrates, and laboratory vessels sold to device makers, network builders, automakers, and researchers. Founded in 1851 and headquartered in Corning, New York, it is a public company traded on the NYSE (ticker: GLW).