Bank of America

Artificial Intelligence Engineering Manager

Bank of America

full-time

Posted on:

Location Type: Office

Location: Charlotte • North Carolina • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudFirewallsTCP/IP

About the role

  • 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
  • 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
  • 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
  • Identify and mitigate potential risks associated with AI projects, including data privacy, security, and ethical considerations.

Requirements

  • 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.
  • 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.
Benefits
  • Competitive benefits to support physical, emotional, and financial well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI/LLMmachine learningdata scienceengineering solutionstest plan developmentnetworking knowledgeMicrosoft 365 CloudAzurerobotics/automation servicesperformance optimization
Soft skills
critical thinkertime managementtroubleshootingproblem-solvinginterpersonal skillscommunicationcollaborationorganizational skillsattention to detailsense of urgency