Lead AI Engineer

Lead AI Engineer

Are you passionate about leading the development of practical AI solutions that can scale across an enterprise environment? At Corning, we are looking for a Lead AI Engineer to help guide the design, development, implementation, and support of AI-enabled applications, tools, agents, automations, and integrations that support business needs across Corning Optical Communications.

This role is part of our Digital & IT organization and is focused on leading technical direction for enterprise AI solutions through architecture, application development, Python, APIs, LLM-enabled solutions, Agile delivery, and platform integration. This is not a pure research or model-training role. We are looking for a hands-on technical leader who can help guide AI Engineers and Senior AI Engineers while supporting scalable, maintainable, and business-focused AI capabilities.

What will you do?

• Lead the design, development, implementation, and support of AI-enabled applications, tools, agents, automations, and integrations.
• Define technical direction, architecture, standards, and reusable patterns for enterprise AI solution delivery.
• Guide AI Engineers and Senior AI Engineers across multiple AI initiatives, helping ensure quality, scalability, and supportability.
• Partner with business and technical stakeholders to translate business needs into practical AI solutions.
• Support the development of 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.
• Help create user-friendly interfaces and application experiences for AI agents and tools.
• Apply Agile methodology to help organize work, manage priorities, and support delivery across the team.
• Evaluate technical tradeoffs around scalability, performance, latency, cost, quality, supportability, and risk.
• Mentor engineers and help grow the AI engineering capability within COC Digital & IT.

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 hands-on 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.

What would be a plus?

• 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.
• People management, technical lead, or project leadership experience.

What should we offer?

• Opportunity to help build and lead a growing AI engineering capability within…