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Sr. Information Security Architect â€“ AI & Cloud Security

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!

The Sr. Information Security Architect – AI & Cloud Security is a senior member of the BISO Secure Solutions Design team responsible for defining secure architecture patterns, assessing emerging AI/ML solutions, and ensuring alignment with Global Information Security (GIS) policies and enterprise architecture strategies. This role provides deep technical expertise in security design, risk evaluation, and threat modeling for both traditional systems and modern AI/Generative AI workloads.

This job is responsible for defining secure solution intent, evaluating system impacts, performing technical architecture assessments, and translating complex requirements into actionable controls across cloud, data, and application environments. You will partner closely with technology leaders, product teams, developers, and enterprise architects to ensure security is embedded into early design and that Generative AI systems are deployed in a resilient, safe, and compliant manner.
The ideal candidate brings broad architecture experience, hands on technical depth, strong threat modeling skills, and demonstrated expertise securing AI, ML, and LLM-based systems.

Required Qualifications

8+ years of experience in information security or enterprise architecture, with recent focus on AI/ML or Generative AI security.
Proven experience performing secure architecture assessments, design reviews, and threat models for complex, integrated systems.
Strong understanding of Generative AI, LLM risk, and security frameworks (MITRE ATLAS, OWASP LLM Top 10, NIST AI RMF).
Broad experience across cloud platforms (AWS), identity, key management, secrets management, networking, containers, and API security.
Expertise in interpreting and applying internal security policies, standards, and controls.
Strong communication skills with the ability to convey complex technical concepts to technical and non technical audiences, including senior leadership.
Demonstrated ability to drive decisions, collaborate across teams, and balance risk vs. business needs.
Hands-on experience preparing technical diagrams and threat models.

Desired Qualifications

Experience with advanced developer tools such as GitHub Copilot, Microsoft Copilot Studio, or similar AI coding assistants.
Certifications such as CISSP, CISM, CCSP, CCSK, CRISC, or cloud architecture/security certifications.
Familiarity with agile methodologies, DevOps practices, CI/CD pipelines, and developer experience platforms.
Experience in financial services or other regulated industries.

Key Responsibilities

Security Architecture & Solution Design

Develop and maintain secure design patterns and controls for AI/ML solutions, including LLMs, RAG architectures, vector databases, and enterprise AI agents.
Define secure operating environment and ensure alignment with enterprise architecture strategy and GIS standards.
Evaluate system impacts, data flows, integration points, and non-functional requirements such as security.
Provide solution options to resolve architectural constraints and remove design impediments.
Participate in design reviews, feature decomposition, and technical governance for AI-enabled platforms and SDLC-integrated developer tools (e.g., GitHub Copilot, Microsoft Copilot Studio).

AI/ML Security, Threat Modeling & Risk Assessments

Conduct AI-specific risk assessments using frameworks including MITRE ATLAS, OWASP Top 10 for LLMs/GenAI, and NIST AI RMF.
Perform detailed threat modeling (STRIDE or equivalent) for cloud, application, data, and AI use cases.
Identify risks such as prompt injection, model/data poisoning, data leakage, model theft, hallucinations, and supply chain risk across model, dataset, and embedding ecosystems.
Define compensating controls and architectural safeguards for AI/ML pipelines, including input/output filtering, retrieval restrictions, data minimization, privacy controls, and identity boundaries.

Collaboration & Governance

Work across lines of business, operations, enterprise architecture, data science, and development teams to ensure clear solution intent and secure-by-design outcomes.
Translate policy and standards into actionable architecture guidance for delivery teams.
Educate partners on architectural best practices, security control requirements, and evolving AI threat landscapes.
Support technology stack evaluations and selection of secure tools, platforms, and third-party integrations.
Provide architecture review documentation, data flow diagrams, and risk summaries to support governance processes.

Skills: