Senior Engineer- AI Security, Systems Engineering & Developer Productivity

Bank of America; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Bank of America is seeking a highly technical Senior Engineer to lead AI security, platform modernization, and developer productivity initiatives. You will drive secure adoption of AI capabilities, define the roadmap for AI vulnerability management, and accelerate engineering modernization to enable rapid release capabilities addressing emerging security threats and platform risks.

This role demands deep systems engineering expertise, architectural leadership, and hands-on delivery of complex

Qualifications

• 10+ years of software, systems, and platform engineering experience.
• Experience with large-scale distributed systems and enterprise architecture.
• Expertise in AI/LLM consumption patterns, AI platform integration, and secure AI development.
• Strong ability to lead end-to-end engineering and deliver complex features.

Responsibilities

• Lead AI security, platform modernization, and developer productivity initiatives.
• Define technology stacks and evaluate new testing tools.
• Enable CI/CD pipelines and secure software delivery.
• Provide technical leadership, architecture, and end-to-end delivery.
• Remediate AI-related vulnerabilities and drive rapid releases.

Skills

Distributed systems

Enterprise architecture

AI/LLM integration

CI/CD

Code reviews

Security-aware development

Job description

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 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!

Position Summary:

Seeking a highly technical, hands‑on Senior Engineer with deep Systems Engineering expertise to lead AI security, platform modernization, and developer productivity initiatives across Digital Technology. The role will drive secure adoption of AI capabilities, establish the roadmap for AI vulnerability management (including Mythos remediation), accelerate engineering modernization, and enable rapid release capabilities required to address emerging security threats and platform risks. This individual will serve as a technical leader, architect, and builder, developing solutions that improve engineering efficiency, strengthen security posture, and accelerate software delivery. 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.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution
• Define the technology tool stack for the solution and evaluate and adapt new testing tool/framework/practices for team(s)
• Enables team(s)/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline
• Guides and influences team(s) on design and best practices for high code performance -e.g. pairing, code reviews
• Provides end‑to‑end delivery of complex features, including automation, for either a single team or multiple teams, at the program level
• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features
• Works with stakeholders to establish high‑level solution needs and with architects for technical requirements
• Lead identification, triage, prioritization, and remediation of AI‑related vulnerabilities.
• Build developer productivity solutions that accelerate secure software delivery.
• Drive platform modernization initiatives, including JDK upgrades, framework upgrades, and technical debt reduction.
• Enable rapid‑release capabilities for critical vulnerability remediation and security response.
• Partner with Architecture, Security, Infrastructure and Development teams to establish enterprise‑wide engineering standards.
• Develop automation that reduces remediation lead times and improves engineering efficiency.
• Champion secure AI adoption and establish best practices for AI‑powered software development.

Required Qualifications

• 10+ years of software engineering, systems engineering, and platform engineering experience.
• Strong hands‑on experience with large‑scale distributed systems, application architecture, and enterprise platform design.
• Proven expertise in AI/LLM consumption patterns, AI platform integration, and secure AI application development.
• Deep