AI/ML Engineer

Job description

Requisition Number

75402 The company built on breakthroughs. ​ Join 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. ​ How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. ​ ​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. The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.

Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes. IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Key Responsibilities

• 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.

Education, Experience, and Licensing

• 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.

Technical Qualifications

• 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.

Other Qualifications

• 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 take initiative to drive results and embrace change with a positive attitude.
• Ability to work in an agile product team environment and balance a diverse set of stakeholder requests
• Excellent oral and written communication skills with an ability to break down complex technical systems to help business partners understand the value
• Strong technical collaboration and communication skills as well as the ability to drive cultural change and adoption of best practices through community participation
• Ability to collaborate with other teams across the company, defining technology roadmaps, sharing experiences and lessons learned for continual improvement
• Process-oriented with great documentation skills 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 accommodations 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 accommodation related to disability or religion, please contact us at [email protected].