Artificial Intelligence Senior Security Engineer

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

Bank

of America’s Global Information Security (GIS) team is seeking a Cyber Threat

Defense AI Security Senior Engineer to drive the integration of advanced AI

technologies into our cyber defense ecosystem. This person will drive innovation

across preventative, detective, and responsive security controls by leveraging

agentic AI, custom-built machine learning models, and large language models

(LLMs). This is a senior individual contributor role focused on technical

innovation and subject matter expertise, working closely with leadership and

engineering teams to drive AI integration into cyber defense. This security

focused subject matter expert will focus on defending usage of AI, and defending

against threat actors leveraging AI. The ideal candidate will have deep

expertise in AI/ML, offensive and defensive security operations, and large-scale

data management. Role

Responsibilities

• Partner with GIS operational and
• technical teams to identify opportunities for AI-driven enhancements to security
• controls and architecture. Drive the technical implementation of the design and
• deployment of AI-powered tools for threat hunting, anomaly detection, and
• automated incident response. Oversee the development and operationalization of
• custom ML/LLM models tailored to cybersecurity use cases. Guide architectural
• transformations to support scalable AI integration across the enterprise. Act as
• a technical expert on AI-driven cybersecurity initiatives, mentoring junior
• engineers and analysts. Prototype and evaluate emerging AI technologies for
• applicability in cyber threat detection and response. Serve as a thought leader
• and subject matter expert on AI in cybersecurity, advising senior leadership and
• influencing enterprise-wide strategy. Ensure responsible and ethical use of AI
• in security operations, including model governance, bias mitigation, and
• explainability. Collaborate with offensive security teams to develop AI-enhanced
• red teaming and adversarial emulation capabilities. Drive innovation in
• proactive defense mechanisms using predictive analytics and autonomous threat
• response. Required Qualifications 7+ years of hands on experience in
• cybersecurity, preferably Offensive Security or Cyber Threat Operations Hands-on
• experience building agentic AI systems, LLMs, and custom ML model development.
• Experience with enterprise cloud AI development platforms such as Azure AI
• Foundry, AWS Bedrock, or GCP Vertex Strong understanding of offensive security
• tactics and how AI can enhance red teaming, attack path mapping, and threat
• modeling. Experience leading large-scale technical projects involving security
• data pipelines, model deployment, and automation. Deep knowledge of cyber threat
• actor behaviors, attack vectors, and defensive countermeasures. Ability to
• translate complex technical concepts into actionable strategies for senior
• executives. Familiarity with AI governance, model risk management, and
• regulatory considerations in financial services. Experience with modern data
• platforms, cloud-native architectures, and MLOps frameworks. Demonstrated
• ability to drive consensus across diverse stakeholders and influence
• enterprise-wide initiatives. Strong communication and presentation skills,
• especially in executive and cross-functional settings. Desired Qualifications
• Experience with AI-enhanced SOAR (Security Orchestration, Automation, and
• Response) platforms. Familiarity with adversarial machine learning and AI
• security risks. Background in data engineering, feature engineering, and model
• lifecycle management. Experience with open-source AI frameworks (e.g., PyTorch,
• TensorFlow, LangChain). Prior work in regulated industries with a focus on
• compliance and risk mitigation. Skills: Artificial Intelligence Critical
• Thinking Threat Analysis Cyber Security Data Privacy and Protection Data and
• Trend Analysis Stakeholder Management This job will be open and accepting
• applications for a minimum of seven days from the date it was posted. Shift: 1st
• shift (United States of America) Hours Per Week: 40 Pay Transparency details US
• - CO - Denver - 1144 15th St - Denver Gis (CO9926), US - DC - Washington - 1800
• K St NW - 1800 K Street NW (DC1842), US - IL - Chicago - 540 W Madison St - Bank
• Of America Plaza (IL4540), US - MA - Boston - 100 Federal St - 100 Federal St Lp
• (MA5100), US - NJ - Jersey City - 101 Hudson St - 101 Hudson (NJ2101) Pay and
• benefits information Pay range $145,000.00 - $192,500.00 annualized salary,
• offers to be determined based on experience, education and skill set.
• Discretionary incentive eligible This role is eligible to participate in the
• annual discretionary plan. Employees are eligible for an annual discretionary
• award based on their overall individual performance results and behaviors, the
• performance and contributions of their line of business and/or group; and the
• overall success of the Company.

Benefits

This role is currently benefits

eligible. We provide industry-leading benefits, access to paid time off,

resources and support to our employees so they can make a genuine impact and

contribute to the sustainable growth of our business and the communities we

serve. Bank of America is committed to help employees through the transition

period when they’re displaced as a result of a workforce reduction, realignment

or similar measure. Please review the resume writing and interviewing tips

provided below to help prepare you for your next career opportunity. Getting

started Regardless of the position you are interested in, the starting points to

building your resume are the same: 1. Determine the job or types of jobs you

want to do and research their responsibilities and qualifications. 2. Think

about why you can do the job and make a list of your skills that are relative to

the job. 3. Identify experiences or accomplishments that show your proficiency

in the skills required for the job. 4. Summarize your abilities, accomplishments

and skills into a brief, concise document. Considerations when writing a resume

• Do be brief. Resumes should be 1-2 pages in length. • Do be upbeat and active

in your wording. • Do emphasize what you have done clearly and concretely. • Do

be neat and well organized. • Do have others proofread and critique your resume.

Spell check. Make it error free. • Do use high quality, white or light colored

8½ x 11 paper. Use a laser printer if possible. • Don't be dishonest, always

tell the truth about yourself in the most flattering light. • Don't include

salary history or requirements. • Don't include references. • Don't include

accomplishments that do not support your professional goals. • Don't include

anything that isn't relevant. (For example, don't mention your fondness for

swimming unless you want to work on the water.) • Don't use italics,

underlining, shadows or other fancy treatments. Seven steps to a successful

interview 1. Anticipate –Put yourself in the interviewer's position. What do you

believe the interviewer is most interested in? Why do you think you have been

invited to interview? 2. Research –What are the primary functions of the line of

business? What are the success factors for the job? Is there a job description

available? 3. Assess –Think about your skills, abilities, knowledge, interests,

traits, values and accomplishments. Match them to what you know about the job.

Consider which ones you should highlight. 4. Prepare Answers –Think about what

the interviewer may ask, determine what the best answer is and write it down. 5.

Prepare Questions – Interviewing is a two-way street. By asking thoughtful

questions, you communicate your interest and learn a lot about the job. Choose

two or three questions to ask your interviewer. Avoid asking a lot of questions

about vacation time or breaks. 6. Practice – It may seem awkward, but it is the

best way to come across well in an interview. Practice your own "great

responses" with others or in front of a mirror until you appear relaxed and at

ease. 7. Follow-up – Send a brief follow-up letter to the interviewer.

Keep in

mind that the many job searchers will not send a follow-up letter. Sending one

can become a competitive advantage. Pay Transparency -

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