Senior AI Engineer

Eastman • Kingsport, TN

70d

About The Position

As part of Eastman’s Artificial Intelligence organization, the Senior AI Engineer supports enterprise-wide digital and AI transformation. The role leads the design, development, and adoption of new technology and analytics, contributes to Eastman’s AI strategy, and partners with leaders and cross-functional teams to develop and roll out AI-driven solutions. It also leads projects to deploy agents that automate work.

The position designs and implements systems using large language models, prepares data, fine-tunes models, and builds data, analytics, and machine-learning pipelines. It develops AI solutions tailored to business needs, uses Azure and/or AWS to deploy and manage solutions, communicates technical concepts to non-technical audiences, stays current with AI advances, and helps improve enterprise adoption and proficiency with AI tools. It also leads the design and development of Agentic AI solutions.

Requirements

• At least 4 years of experience in software engineering, data science, AI, or a related field.
• At least 2 years of experience building AI and agentic solutions.
• Proficiency in software development and statistical analysis.
• Strong communication skills and ability to present technical results to business stakeholders.
• Experience with solution architecture and design.
• Hands-on experience with cloud platforms such as Azure and/or AWS.
• Proficiency in Python, R, or similar programming languages.
• Strong problem-solving skills and ability to work independently and as part of a team.
• Bachelor’s or master’s degree in Computer Science, Mathematics, Statistics, or a related field.

Nice To Haves

• Experience with complex, enterprise-scale agentic system design.
• Experience with Kubernetes, event-driven systems, infrastructure as code, and other tools for operationalizing AI systems.
• Experience with monitoring, evaluation, and systematic self-improvement of agentic systems.
• History of project leadership and development.
• Familiarity with Agile development.

Responsibilities

• Design, develop, and implement systems that leverage large language models for various applications.
• Prepare data, fine-tune models, and build data, analytics, and machine-learning pipelines.
• Collaborate with business partners and key stakeholders to understand needs and present insights and solutions.
• Build AI solutions tailored to business requirements.
• Use Azure and/or AWS cloud technologies to deploy and manage AI models and solutions.
• Communicate complex technical concepts and results effectively to non-technical audiences.
• Stay current with AI advancements and apply them to business challenges.
• Participate in efforts to improve enterprise adoption and proficiency in AI tools.
• Lead the design and development of Agentic AI solutions and projects deploying agents to automate work.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior