דרושים Artificial Intelligence Senior Security Engineer ב-Bank Of America ב-United States, Chicago

Job Description:

This job requires partnership with business function leaders, operations process owners and subject matter experts (SMEs), to provide an end to-end view of their processes, analyze impacts and data, and contribute to the optimization of the organization through data accuracy and completeness.

Key responsibilities include applying knowledge of laws, rules, regulations, and information security concepts (e.g., NIST, COBIT, ISO) to validate indicative data alignment to processes and controls to requirements.
Job expectations include using data analytics, identifying gaps in coverage and data inaccuracies, and support remediation activities.

At least 3 years of related experience required.

Responsibilities:
• Manage the process inventory, reflecting accurate information that supports effective decision making, and ensuring compliance to enterprise policy and standard requirements
• Ensures process information meet enterprise standards, adhere to applicable rules, laws, and regulations, and comply with appropriate treatment of risk
• Identifies information security gaps and remediation strategies
• Process analysis to improve data accuracy and completeness
• Process improvements based on enterprise and Global Technology guidelines, organization maturity, challenges and issue remediation
• Provide end-to-end high-quality view of processes within business functions with proper identification of hand-offs and process connectors
• Support the organization’s short-and-long term strategy
• Supports a strategy of continuous improvement and acts as liaison with Global Technology and Enterprise Process Management teams
• Prepare presentations and process overview utilizing models and complementary data to assist leaders in process re-engineering activities
• Partner with stakeholders to ensure the inventory aligns to GIS policy and standard requirements in support of adherence monitoring

Required Qualifications:
• Prior related experience or business exposure desired and strong delivery mindset
• Analytical and design-oriented mindset
• Data analytics and Problem Solving
• Data driven and Trend Analysis
• Delivery Excellence
• Strong presentation skills
• Excels in working among diverse viewpoints to determine the best path forward
• Excellent verbal and communications skills
• Quality Assurance
• Innovative and Critical thinking skills – ability to assess quantitative and qualitative data to identify key themes that require deeper analysis and assessmentOther Qualifications/Desired Skills:
• Ability to identify opportunities from a process efficiency perspective and continuously challenge current state of GIS processes
• Prior experience in Information Security desirable
• Preferred process improvement and Operational Excellence exposure
• Ability to understand new technologies, intellectually curious
• Commitment to challenging the status quo and promoting positive change
• Experience working in a global environment

Skills:

• Customer and Client Focus

• Interpret Relevant Laws, Rules, and Regulations

• Policies, Procedures, and Guidelines

• Problem Solving

• Quality Assurance

• Business Acumen

• Controls Management

• Innovative Thinking

• Process Management

• Stakeholder Management

• Business Process Analysis

• Data Governance

• Data Privacy and Protection

• Data and Trend Analysis

• Risk Analytics

Job Description:

Job Description:

Role Responsibilities:

• Develop and execute a comprehensive strategy for integrating AI into Cyber Threat Defense operations.
• Build and lead a team of AI engineers, data scientists, and security professionals focused on applying AI to threat detection, response automation, and adversarial simulation.
• Partner with GIS operational and technical teams to identify opportunities for AI-driven enhancements to security controls and architecture.
• Lead 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.
• 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

• Proven leadership in building and managing AI-focused cybersecurity teams.
• 7+ years of hands on experience in cybersecurity, specifically in Offensive Security or Threat Defense Operations.
• Hands-on experience building agentic AI systems, LLMs, and custom ML model development.
• 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.
• 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 enterprise cloud AI development platforms such as Azure AI Foundry, AWS Bedrock, or GCP Vertex
• Experience with AI-enhanced SOAR (Security Orchestration, Automation, and Response) platforms.
• Experience with modern data platforms, cloud-native architectures
• Familiarity with adversarial machine learning and AI security risks.
• Background in data engineering, feature engineering, and model lifecycle management.
• Prior work in regulated industries with a focus on compliance and risk mitigation.

This job will be open and accepting applications for a minimum of seven days from the date it was posted.

Job Description:

Job Description:

We are seeking a highly skilled and experienced Senior Security Automation Engineer to lead the design, implementation, and optimization of security automation workflows using the Tines platform. This role requires deep technical expertise in security orchestration, cloud architecture, and API integrations, as well as experience working closely with Security Operations Centers (SOC), Incident Response (IR) teams, and cross-functional stakeholders. The ideal candidate will bring a strong security engineering background, hands-on experience with modern automation platforms, and a strategic mindset to drive scalable and secure automation initiatives.

Key Responsibilities
• Architect, implement, and maintain advanced automation workflows using Tines.
• Collaborate with SOC and IR teams to identify high-impact use cases for automation.
• Integrate Tines with enterprise systems including EDR, SIEM, threat intelligence platforms, and cloud services.
• Lead secure integration of Tines with SSO, credential vaults, and external repositories.
• Design and configure secure connectivity solutions (e.g., Cloudflare tunnels, VPNs) for hybrid environments.
• Develop and maintain orchestration stories across platforms such as:
• CrowdStrike, Tanium, Splunk, Anvilogic, ThreatQ, AWS, and Azure.
• Write, test, and debug Python-based automation logic.
• Analyze Tines logs and metrics to optimize performance and reliability.
• Create and maintain technical documentation, runbooks, and architectural diagrams.
• Engage with stakeholders across security, infrastructure, and application teams to gather requirements and align automation efforts with business goals.
• Ensure all automation workflows adhere to enterprise security policies and change management processes.

Minimum Years of Experience 8

Required Qualifications
• 8+ years of experience in cybersecurity, with at least 3+ years in a security automation or engineering role.
• Proven experience working with SOC and/or Incident Response teams to operationalize automation.
• Hands-on experience with Tines or similar SOAR platforms (e.g., Splunk SOAR, Palo Alto XSOAR).
• Strong programming skills in Python; experience with Git and CI/CD pipelines.
• Deep understanding of REST APIs, webhooks, and secure API integrations.
• Experience with cloud platforms (AWS, Azure, or GCP), including automation and security architecture.
• Familiarity with AI/ML integrations (e.g., AWS Bedrock, OpenAI APIs) is a plus.
• Experience configuring secure tunnels (e.g., Cloudflare, SSH, VPN) for hybrid environments.
• Strong knowledge of security frameworks and best practices (e.g., NIST, MITRE ATT&CK).
• Excellent communication skills and ability to translate technical concepts for non-technical stakeholders.
• Experience with Agile/Scrum methodologies and tools like Jira and Confluence.

Desired Qualifications
• CISSP, GIAC, or equivalent security certification.
• Tines certifications (both entry-level and advanced preferred).
• AWS Certified Security – Specialty or equivalent cloud security certification.

Skills:

• Automation

• Influence

• Result Orientation

• Stakeholder Management

• Technical Strategy Development

• Application Development

• Architecture

• Business Acumen

• Risk Management

• Solution Design

• Agile Practices

• Analytical Thinking

• Collaboration

• Data Management

• Solution Delivery Process

Job Description:

Job Description:

Job Description:

We are looking for a Senior .Net Software Engineer to guide the development of a complex internal, on-prem application built on ASP.NET MVC, background jobs, and distributed services. This role is a blend of hands-on engineering and technical leadership, ensuring high-quality feature delivery, architectural consistency, and team mentorship. This role goes beyond standard web development - you’ll work with distributed systems, high-throughput messaging, and search and big data tools.

You’ll lead across the stack, from C# and SQL to Kafka, Redis, SOLR, and HBase, on a complex internal application with a mix of modern and legacy components and multiple integrations via Web APIs and Message Queues. You’ll be expected to build resilient, self-healing features that gracefully handle intermittent failures. Front-end work includes maintaining and improving functionality built with ASP.NET MVC, jQuery, ES6, and Bootstrap.

Responsibilities

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution.
• Conduct research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, features, etc.
• Help define the technology tool stack for the solution. 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.
• Support/mentor/coach team(s) on design and best practices for high code performance (e.g. pairing, code reviews).
• Constantly seek better ways of solving technical problems and designing the solution, not afraid of challenging the status quo.
• Works with stakeholders to establish high-level solution needs and with architects for technical requirements.
• Accountable for end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level.
• Lead the technical oversight for teams in solution development.
• Author and update documentation for production support and operations teams.
• Partner with leadership on transition planning for ServiceNow migration, helping identify what to re-platform vs. modernize.

Required Qualifications:

• Minimum of 10+ years of experience in .NET (C#) development, with strong knowledge of ASP.NET MVC and service-based architectures.
• Experience designing, building, and leading delivery of background services and job processing frameworks.
• Proficiency in JavaScript (ES6+) and jQuery for front-end maintenance.
• Hands-on experience with Kafka, Redis, HBase, and SOLR/Elasticsearch.
• Strong SQL skills and knowledge of performance tuning.
• Deep understanding of resilience and reliability patterns in distributed systems.
• Experience working with RESTful Web APIs; familiarity with enterprise system integration.
• Proven ability to mentor engineers, influence architecture decisions, and drive technical discussions with stakeholders.
• Familiarity with CI/CD pipelines, Git workflows.

Desired Qualifications:

• Degree and/or certifications in Cybersecurity (e.g. CISSP, CISM) or Vulnerability Management (e.g. GIAC GEVA)
• Experience with ServiceNow integrations or ServiceNow development.
• Familiarity with frameworks like Polly, MassTransit, or Hangfire for retries, orchestration, and job scheduling.
• Experience modernizing legacy applications or re-platforming features into enterprise platforms.

Skills:

• Automation
• Influence
• Result Orientation
• Stakeholder Management
• Technical Strategy Development
• Application Development
• Architecture
• Business Acumen
• Risk Management
• Solution Design
• Agile Practices
• Analytical Thinking
• Collaboration
• Data Management
• Solution Delivery Process

This job will be open and accepting applications for a minimum of seven days from the date it was posted.

Job Description:

Job Description:

Senior Quantitative engineers in Global Risk are responsible for designing and overseeing the implementof common, reusable, and scalable software components. These components enable GRM’s data and analytical capabilities. These components can be domain independent (e.g., generic data quality tools over

Responsibilities:

• Seek opportunities for consistent improvement in quality, efficiency, and processes

• Partner effectively with senior stakeholders within GRA & EIT, Front Line Units, Technology, Audit and Compliance

• Provide leadership and oversight to less experienced team members

• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements

• Understanding financial data: schemas, flow, size, data issues, data controls, etc.

• Building performant big data pipelines

• Use programming skills and knowledge of software development lifecycle principles to deliver high quality code for model and testing processes

• Collaborate with key stakeholders across the Bank to understand modeling and testing business processes and requirements

• Think outside the box of current industry standards to develop innovative approaches

• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks

• Source and evaluate data required for modeling and testing

• Design and develop and implement models and tests

• Produce clear, concise and repeatable technical documentation models and testsfor internal and regulatory purposes

Candidates should have the following technical skills:

• Software engineering: modular code, software lifecycle processes, unit testing, regression testing

• Big data: distributed computing paradigms (e.g.,mapreduce,dataframes,etc.), optimizing distributed software

• Modeling / quantitative: basic modeling techniques (regression, classification, clustering,etc.

Soft Skills:

• High level of intellectual curiosity

• Experience implementing strategic process improvements and/or automation

• Proven track record of building relationships and effectively influencing key stakeholders

• Adept at detecting and remediating organizational / process weaknesses and deficiencies

• Feels ownership and accountability for delivering high quality work, able to balance multiple priorities and meet strict deadlines

• Strong written, verbal, presentation creation and delivery skills, typically to very senior audiences

• Well organized with attention to detail

• Willing to challenge the status quo and with a track record of driving change

Minimum Education Requirement:

• Bachelor’s degree in Computer Science, a closely related field, or a degree from a program where software engineering was a key focus or equivalent work experience

• 7+ years of relevant work experience

Qualifications:

• At least 7 years of relevant experience in software engineering in Quantitative Finance or other industries

• Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principles

• Proven track record of seamlessly leading and executing enterprise-wide initiatives

• The candidate must be a strong communicator and able to effectively explain the rationale and details of the methodologies to a broad set of audiences that include key senior stakeholders across the Bank, as well as auditors and regulators

• Strong analytical and problem-solving skills

Candidates should have at least three of the following skills:

• Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions

• Experience with large scale data sets with structured or unstructured data

• Experience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.

• Experience implementing process improvements and automation