Conversational AI & Language Engineering Lead

Conversational AI & Language Engineering Lead Chicago, Illinois;Charlotte, North Carolina; Pennington, New Jersey To proceed with your application, you must be at least 18 years of age. Acknowledge ( Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge ( Refer a friend To proceed with your application, you must be at least 18 years of age. Acknowledge ( Bank of America employees are required to meet all posting eligibility requirements prior to applying for any new position. Acknowledge ( 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 teammatesu2019 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 Role Summary The Senior Technology Manager for Conversational AI & Language Engineering is a senior leadership role responsible for setting the technical vision, managing teams, and ensuring the longu2011term health and performance of the machine learning capabilities powering Bank of Americau2019s employeeu2011facing Virtual Assistant. This role is leadershipu2011first : accountable for strategy, governance, prioritization, and outcomes across natural language understanding (NLU), speech recognition, and LLMu2011based capabilities. Key Responsibilities Technology Leadership & Ownership + Own the endu2011tou2011end technical strategy for language engineering, NLU, and conversational AI across web, mobile, and voice channels. + Define and evolve the intent portfolio and domain coverage (e.g., technology, human resources), ensuring alignment between conversation design, business needs, and ML capabilities. + Establish standards and best practices for model quality, evaluation, telemetry, and lifecycle management . + Provide senioru2011level technical oversight for model design, training approaches, performance tradeoffs, and production readiness. + Serve as the accountable owner for model governance , including current and future registered models. + Help transition a mature deterministic solution with over 650 capabilities to leverage Generative and Agentic AI. People Management & Team Development + Lead and develop a specialized, mediumu2011sized team of language engineers and ML practitioners. + Set clear priorities, expectations, and success metrics for the team, balancing delivery, quality, and innovation. + Coach and mentor senior and midu2011level engineers, raising the overall technical bar and creating clear growth paths. + Ensure sustainable operating models that support scale, reliability, and continuous improvement. Strategy, Roadmap & Stakeholder Partnership + Define the conversational AI roadmap , integrating traditional NLU techniques with LLM and GenAI capabilities where appropriate. + Partner with product owners, UX researchers, data scientists, and engineering leaders to shape the u201cbrainu201d of the virtual assistant. + Translate complex technical topics into clear, executiveu2011level communication for stakeholders and leadership. + Identify systemic gaps or underperforming areas through analytics and conversation monitoring, and drive multiu2011quarter improvement plans. Required Skills & Experience + Proven experience leading teams delivering conversational AI, NLP, or languageu2011driven ML solutions. + Strong background in natural language processing, intent classification, and speech recognition, with the ability to guide others rather than execute all work personally. + Experience shaping and executing technical strategy across multiple domains and channels. + Familiarity with LLMs and GenAI, including their application, limitations, and governance considerations in enterprise environments. + Working knowledge of Python, ML workflows, and evaluation techniques sufficient to provide technical leadership and oversight. + Experience with Agile and DevOps operating models. + Strong analytical thinking, decisionu2011making, and executive communication skills. What Defines Success in This Role + Teams deliver highu2011quality, scalable conversational intelligence with clear ownership and governance. + Model performance, reliability, and user experience improve consistently over time. + Stakeholders trust the function as a strategic partner , not just an implementation team. + The organization has a clear, coherent vision for how NLU and LLMs power employee experiences. 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 Shift: 1st shift (United States of America) Hours Per Week: 40 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your

Created: 2026-03-23