Attorney - AI Innovation

Bank of America•Washington, DC

1d•$157,500 - $236,500•Onsite

About The Position

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! This job is responsible for providing legal advice and guidance on artificial intelligence (AI) use cases and other strategic technology initiatives, helping identify, assess, document, and manage legal risks arising from the adoption and use of AI across the enterprise. Key responsibilities include reviewing AI use cases throughout their lifecycle, assessing legal and regulatory considerations, conducting legal risk evaluations, supporting governance and oversight activities, developing legal guidance and review materials, and advising on regulatory inquiries, examinations, audits, and internal reviews related to AI and technology matters. Job expectations include collaborating with Legal, Technology, Risk, Compliance, and business partners to support responsible AI adoption, providing practical legal solutions for complex technology issues, identifying emerging legal trends and risks, and enabling innovation through sound legal judgment and effective stakeholder engagement.

Requirements

Active member in good standing of at least one state bar or the District of Columbia with at least five years of relevant experience.
Demonstrated ability to operate as both legal advisor and process partner, including designing, improving, or supporting workflows, governance routines, documentation standards, escalation paths, and approval processes in a regulated environment.
Strong judgment, analytical ability, and comfort advising on novel or ambiguous issues involving evolving law, technology, policy, and risk considerations.
Strong client-facing skills, including experience leading discussions with senior business, legal, risk, compliance, and technology stakeholders.
Ability to work independently, prioritize effectively, manage multiple matters simultaneously, and collaborate effectively across functions and levels of the organization.
Excellent written and oral communication skills, including the ability to present complex legal concepts clearly, practically, and concisely to non-legal audiences.
Proven record of accountability, teamwork, cooperation, and timely, creative, and professional problem-solving.

Nice To Haves

Experience with, or strong interest in, AI, responsible AI frameworks, data governance, cloud/SaaS, software, or platform-related issues in a regulated enterprise environment.
Experience supporting regulatory inquiries, exams, audits, issue management, governance committees, control processes, policy implementation, or other regulated governance routines.
Familiarity with emerging AI regulatory frameworks, standards, and guidance, such as the EU AI Act, NIST AI Risk Management Framework, state AI laws, privacy and cybersecurity frameworks, and financial services regulatory expectations.
Experience creating practical legal guidance, templates, playbooks, training, governance routines, metrics, or other repeatable tools that improve legal and business execution.
Ability to work with technical stakeholders, ask informed questions, identify legal issues, and translate legal requirements into actionable guidance.

Responsibilities

Serve as a legal advisor for AI use cases across the enterprise, including identing and analyzing legal issues raised by proposed, developing and deployed AI capabilities
Provide legal advice on AI use case reviews, including legal issue-spotting, documentation of legal analysis, escalation of novel or significant issues, and review of proposed mitigations
Assess AI use cases for legal considerations, including privacy, data use, intellectual property, explainability, transparency, fairness, human oversight, recordkeeping, third party dependencies, and appropriate use of AI-generated outputs
Support consistent legal analysis across similar AI use cases by helping develop issue-spotting guides, legal review templates, decision frameworks, escalation criteria, and approval memoranda
Help develop and support public policy, industry, and advocacy positions on AI by synthesizing legal developments, identifying impacts to enterprise AI use cases and translating complex AI issues into practical legal and policy positions
Provide practical, risk-based advice on selected non-AI technology matters, including new technology deployments, platform and infrastructure initiatives, vendor-enabled technologies, data-intensive solutions, cloud/SaaS capabilities, automation tools, and other emerging technology initiatives.
Monitor AI and technology legal developments and translate them into practical guidance, governance enhancements, training, and recommendations for internal stakeholders
Support knowledge-sharing and capability-building within the Legal Department through reusable guidance, playbooks, training, and mentoring of peers or other Legal staff