Artificial Intelligence (AI) Engineering Manager (Productivity Intelligence)

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!

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.

Responsibilities :

Builds and manages teams by performing financial activities to inform workforce strategy and hiring practices, setting and tracking maturity and quality objectives, and training employees / teams to address feedback and achieve quality and performance objectives

Facilitates performance and career development of employees / teams through performance reviews, coaching, and creating development plans that are needed to build competencies and skills

Manages solution delivery and application performance in production (app health, resiliency, performance, security, enterprise data management standards, audit exams and reviews), ensuring all relevant risk, financial, and compliance policies are met

Manages relationships with business and technology partners and leads and creates followership in Communities of Practice in the organization

Contributes to the technology strategy for their technical domain

Creates an inclusive and healthy working environment and helps to resolve organizational impediments / blockers

Ensures that execution is aligned with product strategy by working with product management and other stakeholders

LOB Specific Job Description

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.

Key Responsibilities :

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 AI.

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.

Required Qualifications

5+ years of experience with managing high output data science or solution engineering team.

7+ years of experience with AI / LLM and machine learning design, testing, implementing, evaluating regulatory requirements, and maintaining robotics / automation services.

3+ years of knowledge with Microsoft, AWS, Google AI / LM technologies.

Strong proficiency in engineering solutions for global highly regulated financial or healthcare industry platforms.

Knowledge of enterprise-wide design concepts, test plan development, and implementation processes.

Knowledge of the Microsoft 365 Cloud ecosystems, incl. services and technologies such as Azure, Purview, Defender, M365 Admin Center, etc.

Working networking knowledge, DHCP, TCP / IP, WINS, subnetting, firewalls.

Experience with creating engineering blueprints, detailed designs and author documents and test plans.

Self-starter, critical thinker with proven ability to deal with granular requirements yet see things holistically and strategically.

Effectively contribute to design and development of solutions through the entire product lifecycle.

Effective at time management so as to deliver quality solutions on time.

Strong troubleshooting and problem-solving skills.

Ability to shift and pivot with changing responsibilities.

Strong interpersonal skills with excellent verbal and written communication, able to communicate effectively to senior leadership.

Comfortable sharing ideas and concepts in a highly collaborative team.

Have experience with ITIL foundational and Agile process methodologies.

English Speaking / Writing.

Excellent written and verbal skills.

Strong dedication to quality customer service.

Excellent analytical and problem-solving skills.

Exceptional organizational and analytical skills with high attention to detail.

Possess a personal sense of urgency and the ability to handle a fast-paced environment.

Ability to work with business and technical teams to build requirements and technical artifacts.

Desired Qualifications

Knowledge and application of controls to meet regulatory requirements including responsible use of AI / LMs.

Expert in Copilot Studio, including agent onboarding and compliance, supervision, security controls.

Expert in Copilot Chat, M365 Copilot, including compliance, supervision, and security controls.

Knowledge of Azure Open AI, Chat-GPT, and Microsoft LM Orchestration Engine.

Knowledge of Adobe Firefly capabilities and controls.

Managerial Responsibilities :

Opportunity & Inclusion Champion : Models an inclusive environment for employees and clients, aligned to company Great Place to Work goals.

Manager of Process & Data : Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.

Enterprise Advocate & Communicator : Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.

Risk Manager : Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.

People Manager & Coach : Provides inspection, coaching and feedback to motivate, differentiate and improve performance.

Financial Steward : Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.

Enterprise Talent Leader : Assesses talent and builds bench strength for roles across the organization.

Driver of Business Outcomes : Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.

Skills : Influence

Risk Management

Solution Design

Stakeholder Management

Technical Strategy Development

Analytical Thinking

Application Development

Collaboration

Result Orientation

Solution Delivery Process

Agile Practices

Architecture

Automation

Data Management

DevOps Practices

Shift : 1st shift (United States of America)

Hours Per Week : 40

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