AI/ML Engineer

Job title: AI/ML Engineer

About the Role The global Information Technology (IT) Function at Corning is leading efforts to align IT with business strategy, optimize end-to-end processes, and enable data-driven innovation. This role contributes to designing and deploying AI-powered solutions within Corning's IT landscape to support business goals and product development.

What You'll Do

• Design, build, and deploy production-grade AI agents using frameworks such as LangGraph, including supervisor agents and multimodal applications.
• Implement agent-tool and agent-data integrations using MCP, and enable cross-agent communication using A2A.
• Develop reusable agent development patterns, Agent Skills, and shared components, integrate them into standard development workflows, and contribute to existing internal packages.
• Design, build, and deploy ML, DL, and statistical models where appropriate to support business and AI product requirements.
• Conduct data processing, feature engineering, model/agent evaluation using Python, Databricks, AWS, and GitLab CI/CD.
• Collaborate with business and technical stakeholders to identify opportunities for data-driven innovation.
• Translate complex, loosely defined problems into actionable analytics and AI solutions.
• Contribute to the architecture and development of scalable, reusable AI products.
• Continuously improve agile workflows and participate in cross-functional development initiatives.

What We're Looking For

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• 5+ years of experience in data analytics, machine learning, or AI solution development.
• Hands-on experience building LLM-powered applications or agentic AI solutions in production or production-like environments.
• Hands-on experience with Databricks, Git-based development workflows, CI/CD pipelines, and cloud-based data platforms such as AWS.
• Hands-on experience with LangGraph or comparable agent orchestration frameworks; familiarity with LangChain, embedding models, vector databases, and RAG architectures.
• Proficiency in Python and SQL; experience with AI-assisted coding tools is a plus.
• Experience with agile development, version control systems, testing, and production deployment practices.
• Experience with RAG architecture, multi-agent orchestration, tool-using agents, and multimodal agent systems.
• Working knowledge of agent protocols, authorization patterns, and MLOps practices in AI systems.
• Experience with data engineering, data pipeline automation, and scalable data processing on cloud platforms.
• Demonstrated curiosity and an ability to learn new skills on an ongoing, sustained basis.
• Demonstrated systems perspective when analyzing problems, thinking about overall operation, failure modes and how to address these problems proactively.
• Strong interpersonal and communication skills, with the ability to build relationships, collaborate across teams, and clearly present ideas.
• Proactive, adaptable, and willing to learn.