Sr. Full Stack Engineer

Location: For Those Who Work At Home, Georgia Position Summary   We are seeking a specialist with experience designing, training, and operationalizing intelligent document-processing solutions. The ideal candidate combines applied AI and machine learning expertise with cloud data engineering, secure information handling, and configurable business-rule automation. This role focuses on turning unstructured and semi-structured documents into accurate, auditable, and actionable data products.  Core Technical Skills  Intelligent Document Processing (IDP), optical character recognition (OCR), and document classification  Training, evaluating, and tuning document extraction models for structured, semi-structured, and handwritten content  Entity and field extraction, confidence scoring, quality metrics, and model accuracy assessment  Document preprocessing, page-level validation, exception detection, and human-in-the-loop review patterns  Python development for data processing, automation, model integration, and reusable components  Cloud-native data pipelines using object storage, analytical databases, batch processing, and job orchestration  Configuration-driven validation using YAML or similar formats to separate business rules from application code  Data normalization, reconciliation, tolerance handling, and comparison against authoritative data sources  Encryption, decryption, sensitive-data controls, auditability, and secure cloud processing  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