Cyber Crime
Expert Cybersecurity Engineer ( GenAI ) @ Discover
Cyber Crime, Chicago, Illinois, United States,
Discover
Discover bank offers online banking, reward credit cards, home equity loans, student loans, and personal loans to help meet your financial needs.With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.Come build your future, while being the reason millions of people find a brighter financial future with Discover.Job Description:
As an Expert Cybersecurity Engineer, you will have deep understanding of AI ML Security Risks, possess a strong background in application security engineering, and be eager to take on challenges related to AI-driven cybersecurity threats. We are looking for individuals who are adept in both traditional security approaches and the unique challenges posed by AI and ML technologies. This role will be a key role in application security engineering team, responsible for engineering support, development and delivery of AI/ML open source security initiatives, projects, or programs that have objectives associated with incorporating AI safety controls, designing and implementing processes to understand, measure, and improve the organization’s ability to protect open source AI/ML models, implement AI safety controls for responsible use of LLM (Large Language Model) applications.Responsible for creating the engineering strategy to protect the Corporate Brand. Designs the Cybersecurity road map to contain potential breaches and deliver highly-complex secure systems, cyber applications, technical projects and regulatory and risk requirements. Researches and introduces most robust cyber solutions and build resilient next-generation systems to solve business challenges and enhance the control environment. Drives Cybersecurity framework, road map, program optimization, process engineering, risk remediation, and mitigation of operational risk in a high velocity culture by introducing technology, requirements, deliverables, gaps and systems design. Support and supplement Sr Manager non-personnel functions. Analyzes competitive strategies, cyber technologies, metrics models, and performance indicators. Propose and oversee innovative strategic solutions and technologies to support executive decision-making.Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.How You’ll Do It
Develop and implement capabilities (process and tooling) to identify security risks in open source AI ML model evaluations, employing advanced ML and AI techniques.
Build and maintain scalable systems and processes to support open source AI safety evaluations and threat mitigation strategies.
Implement end-to-end LLM security risk management processes and automated protections.
Evaluate and assess open-source AI security libraries to build into enterprise AI open source security evaluation.
Provide engineering design and support in developing requirements for AI ML CI/CD pipeline.
Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.
Establish and govern AI/ML and Generative AI application security standards.
Collaborating with multi-functional teams, including researchers, ML engineers, and security experts, to develop and implement best-in-class security solutions for AI systems.
Acts as the principal advisor to upper management in Cybersecurity matters.
Establish the direction for major engineering initiatives. Provides requirements to Cybersecurity architects and engineers in the design and development of security solutions consistent with business goals and risk tolerance.
Works closely with architects, engineers, and key stakeholders to ensure security requirements are effectively met through all phases of system lifecycles.
Determines whether systems perform as expected, provides input to the determination of operational effectiveness, and takes action to remediate issues and resolve gaps.
Directs security solutions and technical assurance in alignment with business risk and regulatory requirements.
Works closely with management to define, promote, and present the strategic direction of the department.
Identifies, evaluates and remediates potential vulnerabilities, and develop cyber solutions, internal processes and standards for threat intelligence workflow.
Qualifications You’ll Need
The BasicsBachelor’s degree in Computer Science, Engineering, Informatics, Information Security, Information Technology.
8+ years of experience in Information Security, Application Security, Security Engineering or related.
Internal applicants only: technical proficiency rating of Expert on the Dreyfus Cyber engineering scale.Physical and Cognitive Requirements
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws:Primarily remain in a stationary position.
Primarily performed indoors in an office setting.
Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.
Ability to communicate verbally; Ability to communicate in written form.
Travel up to 10% of the time.
Bonus Points If You Have
Strong knowledge of AI Risk Management frameworks and Trustworthy GenAI practices.
Hands-on experience with applying statistics, machine learning algorithms (DNN, NLP), big data, and data science toolkits. Hands-on experience designing, implementing, and operationalizing high performant AI/ML pipelines and writing production code.
Hands-on experience with deploying and operationalizing AI/ML models to public cloud environments.
Hands-on experience evaluating open-source ML tools, frameworks, and libraries.
Hands-on experience with commonly used data science programming languages, packages, and tools.
Hands-on experience with MLOps, DevOps, DataOps and API integrations.
Hands-on experience with AI/ML technologies, including proficiency in Python, Rust, Go, and ML frameworks like TensorFlow, PyTorch, Keras.
Demonstrated experience in red-team and penetration testing engagements.
Excellent communication skills, with the ability to articulate complex technical findings to diverse teams.
External applicants will be required to perform a technical interview.Application Deadline:
The application window for this position is anticipated to close on Oct-30-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.Compensation:
The base pay for this position generally ranges between $125,500.00 to $211,500.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.Benefits:
Paid Parental Leave
Paid Time Off
401(k) Plan
Medical, Dental, Vision, & Health Savings Account
STD, Life, LTD and AD&D
Recognition Program
Education Assistance
Commuter Benefits
Family Support Programs
Employee Stock Purchase Plan
Learn more at mydiscoverbenefits.com.Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status.
#J-18808-Ljbffr
Discover bank offers online banking, reward credit cards, home equity loans, student loans, and personal loans to help meet your financial needs.With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.Come build your future, while being the reason millions of people find a brighter financial future with Discover.Job Description:
As an Expert Cybersecurity Engineer, you will have deep understanding of AI ML Security Risks, possess a strong background in application security engineering, and be eager to take on challenges related to AI-driven cybersecurity threats. We are looking for individuals who are adept in both traditional security approaches and the unique challenges posed by AI and ML technologies. This role will be a key role in application security engineering team, responsible for engineering support, development and delivery of AI/ML open source security initiatives, projects, or programs that have objectives associated with incorporating AI safety controls, designing and implementing processes to understand, measure, and improve the organization’s ability to protect open source AI/ML models, implement AI safety controls for responsible use of LLM (Large Language Model) applications.Responsible for creating the engineering strategy to protect the Corporate Brand. Designs the Cybersecurity road map to contain potential breaches and deliver highly-complex secure systems, cyber applications, technical projects and regulatory and risk requirements. Researches and introduces most robust cyber solutions and build resilient next-generation systems to solve business challenges and enhance the control environment. Drives Cybersecurity framework, road map, program optimization, process engineering, risk remediation, and mitigation of operational risk in a high velocity culture by introducing technology, requirements, deliverables, gaps and systems design. Support and supplement Sr Manager non-personnel functions. Analyzes competitive strategies, cyber technologies, metrics models, and performance indicators. Propose and oversee innovative strategic solutions and technologies to support executive decision-making.Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.How You’ll Do It
Develop and implement capabilities (process and tooling) to identify security risks in open source AI ML model evaluations, employing advanced ML and AI techniques.
Build and maintain scalable systems and processes to support open source AI safety evaluations and threat mitigation strategies.
Implement end-to-end LLM security risk management processes and automated protections.
Evaluate and assess open-source AI security libraries to build into enterprise AI open source security evaluation.
Provide engineering design and support in developing requirements for AI ML CI/CD pipeline.
Deliver and integrate AI robustness, vulnerability, and stress testing capabilities with MLOps ecosystems.
Establish and govern AI/ML and Generative AI application security standards.
Collaborating with multi-functional teams, including researchers, ML engineers, and security experts, to develop and implement best-in-class security solutions for AI systems.
Acts as the principal advisor to upper management in Cybersecurity matters.
Establish the direction for major engineering initiatives. Provides requirements to Cybersecurity architects and engineers in the design and development of security solutions consistent with business goals and risk tolerance.
Works closely with architects, engineers, and key stakeholders to ensure security requirements are effectively met through all phases of system lifecycles.
Determines whether systems perform as expected, provides input to the determination of operational effectiveness, and takes action to remediate issues and resolve gaps.
Directs security solutions and technical assurance in alignment with business risk and regulatory requirements.
Works closely with management to define, promote, and present the strategic direction of the department.
Identifies, evaluates and remediates potential vulnerabilities, and develop cyber solutions, internal processes and standards for threat intelligence workflow.
Qualifications You’ll Need
The BasicsBachelor’s degree in Computer Science, Engineering, Informatics, Information Security, Information Technology.
8+ years of experience in Information Security, Application Security, Security Engineering or related.
Internal applicants only: technical proficiency rating of Expert on the Dreyfus Cyber engineering scale.Physical and Cognitive Requirements
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable a qualified individual with disabilities to perform the essential functions of the position as required by federal, state, and local laws:Primarily remain in a stationary position.
Primarily performed indoors in an office setting.
Ability to operate office equipment such as but not limited to computer, telephone, printer, and calculator.
Ability to communicate verbally; Ability to communicate in written form.
Travel up to 10% of the time.
Bonus Points If You Have
Strong knowledge of AI Risk Management frameworks and Trustworthy GenAI practices.
Hands-on experience with applying statistics, machine learning algorithms (DNN, NLP), big data, and data science toolkits. Hands-on experience designing, implementing, and operationalizing high performant AI/ML pipelines and writing production code.
Hands-on experience with deploying and operationalizing AI/ML models to public cloud environments.
Hands-on experience evaluating open-source ML tools, frameworks, and libraries.
Hands-on experience with commonly used data science programming languages, packages, and tools.
Hands-on experience with MLOps, DevOps, DataOps and API integrations.
Hands-on experience with AI/ML technologies, including proficiency in Python, Rust, Go, and ML frameworks like TensorFlow, PyTorch, Keras.
Demonstrated experience in red-team and penetration testing engagements.
Excellent communication skills, with the ability to articulate complex technical findings to diverse teams.
External applicants will be required to perform a technical interview.Application Deadline:
The application window for this position is anticipated to close on Oct-30-2024. We encourage you to apply as soon as possible. The posting may be available past this date, but it is not guaranteed.Compensation:
The base pay for this position generally ranges between $125,500.00 to $211,500.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.Benefits:
Paid Parental Leave
Paid Time Off
401(k) Plan
Medical, Dental, Vision, & Health Savings Account
STD, Life, LTD and AD&D
Recognition Program
Education Assistance
Commuter Benefits
Family Support Programs
Employee Stock Purchase Plan
Learn more at mydiscoverbenefits.com.Discover is committed to a diverse and inclusive workplace. Discover is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or other legally protected status.
#J-18808-Ljbffr