Bank Of America EET EEDS Sr Language Engineer 

United States, Illinois, Chicago 

716251301

Job Description:

EET EEDS Senior Language Engineer will be responsible for building and maintaining machine learning models to identify end user intent for a multi-channel Virtual Assistant.

• Design & drive the intent architecture for all of Erica for Employees across 5 domains.
• Work within the framework of a vendor based Virtual Assistant (Amelia).
• Manage the ongoing model governance for E4E’s web and voice models per MRM guidelines.
• Primary contact for MRM team and Erica for Employees.
• Lead the Gen AI POC and accountable for getting production approval and use case in production Q4 2025.
• Lead a team of 7 contactors/FTEs.
• Test, validate, and determine if we replace Microsoft Azure’s ASR with Soundhound’s ASR.
• Understand the intent portfolio for NLU across domains (e.g., technology, human resources) and how it maps to conversation design for web, mobile, and voice channels.
• Identify and build appropriate datasets to train and test machine learning models for intent classification and speech recognition.
• Develop tools and telemetry that can measure/monitor accuracy and performance and update the models accordingly throughout development lifecycle.
• Develop disambiguating and error handling strategies as the virtual assistant scales.
• Monitor conversations in the application to identify underperforming content and develop solutions to improve the performance.
• Collaborate with data scientists, product owners, UX researchers, and engineers to build out the “brain” of the virtual assistant.
Required Qualifications:

• Experience with conversational interfaces and natural language processing.
• Experience training machine learning algorithms for data classification and/or speech recognition.
• Experience improving intent recognition of a data classification model.
• Experience with python.
• Unique skillset in computational linguistics and technical experience.
• Familiarity with LLMs.
• Familiarity with using version control technologies such as git, svn, or JIRA.
• Experience in DevOps and Agile methodology.
• Strong analytical and troubleshooting skills.

Skills:

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Application Development
• Architecture
• Business Acumen
• Risk Management
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• Solution Delivery Process