Conversational AI & Language Engineering Lead

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!

 

Conversational AI & Language Engineering Lead

This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Job Description:

The Conversational AI & Language Engineering role, is a senior leadership position, responsible for setting the technical vision, managing teams, and ensuring the long-term health and performance of the machine learning capabilities powering Bank of America’s employee facing Virtual Assistant.

This role is leadership first: accountable for strategy, governance, prioritization, and outcomes across natural language understanding (NLU), speech recognition, and LLM based capabilities.

Additionally, this job is accountable for end-to-end solution design and delivery.

Key Responsibilities

Technology Leadership & Ownership

• Own the end‑to‑end 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 senior‑level 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. 

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 “brain” of the virtual assistant.

• Translate complex technical topics into clear, executive‑level communication for stakeholders and leadership.

• Identify systemic gaps or underperforming areas through analytics and conversation monitoring and drive multi‑quarter improvement plans.

Required Skills & Experience

• Proven experience leading teams delivering conversational AI, NLP, or language‑driven 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, decision‑making, and executive communication skills.

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540), US - NJ - Pennington - 1300 American Blvd - Hopewell Bldg 3 (NJ2130)

Pay and benefits information

Pay range

$122,000.00 - $200,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.