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Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Position:
EET EEDS Senior Language Engineer This role involves building and maintaining machine learning models to identify end user intent for a multi-channel Virtual Assistant. Key Responsibilities: 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 ongoing model governance for E4E’s web and voice models per MRM guidelines. Serve as the primary contact for MRM team and Erica for Employees. Lead the Gen AI POC and be accountable for getting production approval and use case in production by Q4 2025. Lead a team of 7 contractors/FTEs. Test, validate, and determine if Microsoft Azure’s ASR should be replaced 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 to measure/monitor accuracy and performance and update models accordingly throughout development lifecycle. Develop disambiguating and error handling strategies as the virtual assistant scales. Monitor conversations to identify underperforming content and develop solutions to improve performance. Collaborate with data scientists, product owners, UX researchers, and engineers to build 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 data classification models. Proficiency in Python. Unique skillset in computational linguistics and technical experience. Familiarity with LLMs. Experience with 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 Shift:
1st shift (United States of America) Hours Per Week:
40 Pay Range:
$122,000 - $204,500 annually, based on experience, education, and skill set. This role is benefits eligible, offering industry-leading benefits, paid time off, and resources to support our employees. This job posting appears to be active and not expired.
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EET EEDS Senior Language Engineer This role involves building and maintaining machine learning models to identify end user intent for a multi-channel Virtual Assistant. Key Responsibilities: 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 ongoing model governance for E4E’s web and voice models per MRM guidelines. Serve as the primary contact for MRM team and Erica for Employees. Lead the Gen AI POC and be accountable for getting production approval and use case in production by Q4 2025. Lead a team of 7 contractors/FTEs. Test, validate, and determine if Microsoft Azure’s ASR should be replaced 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 to measure/monitor accuracy and performance and update models accordingly throughout development lifecycle. Develop disambiguating and error handling strategies as the virtual assistant scales. Monitor conversations to identify underperforming content and develop solutions to improve performance. Collaborate with data scientists, product owners, UX researchers, and engineers to build 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 data classification models. Proficiency in Python. Unique skillset in computational linguistics and technical experience. Familiarity with LLMs. Experience with 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 Shift:
1st shift (United States of America) Hours Per Week:
40 Pay Range:
$122,000 - $204,500 annually, based on experience, education, and skill set. This role is benefits eligible, offering industry-leading benefits, paid time off, and resources to support our employees. This job posting appears to be active and not expired.
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