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! Job Description: This job is responsible for building and leading a team to deliver technology products and services that meet business outcomes. Key responsibilities include developing a technology strategy, ensuring technology solutions comply with applicable standards, promoting design, engineering, and organizational practices, and advocating and advancing modern, Agile solution delivery practices. Job expectations may include coaching, mentoring, providing feedback and hands on career development, identifying emerging talent, fostering leadership skills, and managing stakeholders. Position Summary The AI Engineering Manager (Productivity Intelligence) leads solution onboarding of 3rd party AI solutions, engineering and integration into existing productivity productions, model use development/registration, and performance metrics/reporting aligned to AI responsible use. This role involves guiding teams, collaborating with stakeholders, and ensuring the successful implementation of AI models using on-premise and cloud environments. Key responsibilities include providing technical expertise, managing projects, and staying abreast of the latest advancements in AI and cloud technologies. This role requires an experienced manager, who is responsible for building and leading a team to deliver technology products and services that meet business outcomes. Their primary responsibility is the people they manage, ensuring they are developing through coaching, mentoring, feedback, and hands on career development. Other key responsibilities may include developing a technology strategy and ensuring technology solutions comply with applicable standards. This role advocates and advances modern, Agile solution delivery practices and evangelizes great design, engineering, and organizational practices. This includes: Responsible for 3rd party (i.e., Microsoft, Google, AWS, Adobe) infrastructure and control engineering, management, and support of global services with careful regard to availability, connectivity, performance, compliance, and security. Provide expert guidance on AI\LM, including architecture, development, and deployment best practices. Responsible for 3rd level model development and design registration for Productivity products containing AI and LMs. Participate and oversee efforts in audits related to global AI/LM + machine learning products and services. Have deep understanding of Microsoft and Azure AI/LMs services, including Copilot Studio, Copilot Chat, M365 Copilot, MS Defender, MS Purview, Enterprise Data Protection, Azure Responsible A I. Support business and client group requirements for access, and solution administration. Help define test strategies for migrations and translations of configurations to mitigate outages and loss of service. Monitor and optimize the performance of AI solutions, ensuring they meet business requirements and SLAs. Help define and develop project plans (Define, roughly create, status and update). Work with a project team (Project Managers, Product Manager, System Administrators, Architects, and Stakeholders) in a high communication standard manner. Write technical documents, and alter existing technical documents Will be working in detailed change management processes and configuration processes. Identify and mitigate potential risks associated with AI projects, including data privacy, security, and ethical considerations.