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Senior Lead Architect - AI & Machine Learning Security

JPMorgan Chase & Co.

JPMorgan Chase & Co.

Software Engineering, IT, Data Science
Tampa, FL, USA
Posted on Sunday, June 9, 2024

Job Description

Play a vital role in shaping the future of an iconic company and make a direct impact in a dynamic environment designed for top achievers.

As a Senior Lead Cybersecurity Architect at JPMorgan Chase within the Cybersecurity and Technology Controls organization, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications and platform products. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.
We are looking for an experienced Senior Security Architect to join our team as a specialist in Cloud Security. The successful candidate will be responsible for designing secure cloud infrastructure architectures for our enterprise AI/ML applications. We are looking for a cloud security leader who is passionate about AI/ML security architecture and can solve complex security configurations through innovation and known security architectural practices. You will be required to apply your in-depth of cloud security knowledge and expertise to all aspects of Artificial Intelligence/Machine Learning development lifecycle, as well as partner continuously with your many product stakeholders on a daily basis to stay focused on common goals.

Job responsibilities

  • Provide thought leadership for securing on premise and cloud based AI/ML solution architecture
  • Design secure networks and systems based on industry standards and best practices
  • Identify and address security vulnerabilities, security risks, and other compliance issues
  • Perform regular audits of all cloud infrastructure
  • Participate in application and system hardening activities
  • Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks
  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability
  • Serves as function-wide subject matter expert in the design of comprehensive security architectures for cloud infrastructure projects.
  • Actively contributes to the engineering community as an advocate of firm wide frameworks, tools, and practices of the Software Development Life Cycle
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering* concepts and 5+ years applied experience in cloud security and/or Artificial Intelligence/Machine Learning Security (AI/ML)
  • Hands-on practical experience delivering enterprise level cybersecurity solutions and controls
  • Strong knowledge of Artificial Intelligence and Machine Learning Security concepts, threats, and vulnerabilities including Generative Large Language Models
  • Advanced in one or more programming languages or applications - Python (preferred)
  • Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)
  • Knowledge of IAM concepts, including but not limited to provisioning, RBAC, ABAC, SCIM, LDAP, and governance and authorization standards
  • Experience with federated identity platforms/products
  • Knowledge of current Identity protocols such as OAuth 2.0, OpenID Connect, and SAML 2.0, tokenization
  • Experience with Privileged Access Management
  • Practical cloud native experience - AWS (preferred), AZURE and/or Google Cloud Platform (GCP)
  • Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture
Preferred qualifications, capabilities, and skills
  • Knowledge of networking protocols and techniques, such as TCP/IP, routing, DNS, DHCP, etc.
  • Experience with API security and public cloud APIs and integration
  • Experience developing and understanding information security architecture, mitigation of threats, and compensating controls. Deep familiarity with frameworks such as NIST 800-53, OWASP, CVSS, the MITRE ATT&CK frame, MITRE Atlas, PCI, and Gramm-Leach-Bliley Act (GLBA).
  • Experience using cloud infrastructure as code (IaC) using frameworks like Terraform
  • Experience with micro services designs and implementations including Docker, Kubernetes, Helm