API and system integration for ingesting documents, publishing results, and supporting downstream workflows
Applied AI and Machine Learning
Practical experience with document AI platforms or comparable machine learning services
Understanding of supervised model training, labeling strategies, evaluation datasets, confidence thresholds, and error analysis
Ability to identify when OCR, rules-based logic, machine learning, or generative AI is the appropriate solution
Experience applying large language models to document understanding, unstructured content analysis, summarization, or reasoning use cases
Knowledge of responsible AI practices, including explainability, traceability, quality controls, and review escalation
Data and Platform Engineering
Experience with cloud object storage, SQL-based analytical platforms, and production data pipelines
Batch and event-driven processing patterns, workflow orchestration, retries, monitoring, and operational support
Data modeling for extracted values, confidence scores, validation results, and processing history
CI/CD, source control, automated testing, environment promotion, and infrastructure-as-code practices
Observability and troubleshooting across model, application, data, and integration layers
Business and Delivery Capabilities
Ability to translate document-review procedures into clear technical requirements and configurable validation rules
Collaboration with business subject-matter experts to define fields, thresholds, exceptions, and acceptance criteria
Clear documentation of model behavior, processing logic, decision outcomes, and operational procedures
Ability to communicate complex AI and data-processing concepts to technical and non-technical stakeholders
Focus on scalable, reusable solutions rather than one-off document automations
Required Qualifications
Bachelor's Degree in Information Systems, Computer Science, Data Analytics, or related technical field
Hands-on experience delivering document-processing or information-extraction solutions in a regulated industry
Experience with sensitive or confidential information and enterprise security controls
Familiarity with cloud-based machine learning and data platforms
Knowledge of financial-services, legal, healthcare, insurance, or other document-intensive workflows
Experience designing exception-based workflows that reduce manual review while preserving quality and control
This position is NOT eligible for employment visa sponsorship for non-U.S. citizens.
COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $80,000.00 - $150,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 11/14/2026

KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
#LI-Remote
