Senior Engineer - GenAI Security

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This job is responsible for defining and leading the engineering approach for complex features to deliver significant business outcomes. Key responsibilities of the job include delivering complex features and technology, enabling development efficiencies, providing technical thought leadership based on conducting multiple software implementations, and applying both depth and breadth in a number of technical competencies. Additionally, this job is accountable for end-to-end solution design and delivery.

Job Profile Summary:

Global Markets GenAI Technology is a fast-growing global team with locations in New York City, Charlotte, London, and India. Generative AI presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Global Markets GenAI Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout global generative AI platform.

The platform will cater to a rapidly growing number of use cases that harness the power of Generative AI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients.

Responsibilities:

• Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution

• Define the technology tool stack for the solution and 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

• Guides and influences team(s) on design and best practices for high code performance –e.g. pairing, code reviews

• Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level

• Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features

• Works with stakeholders to establish high-level solution needs and with architects for technical requirements

• Define and implement the security architecture for the GenAI platform

• Design and enforce identity and access control models

• Establish secure API and tool invocation patterns

• Define and implement AI guardrails and safety controls

• Lead threat modeling and risk assessment for GenAI systems

• Design and enforce RAG and data security controls

Required Qualifications:

• 8+ years in cybersecurity, security architecture, or platform security engineering

• Strong expertise in:

  • Identity and access management (IAM), OAuth2, mTLS

  • API security, gateway enforcement, and zero-trust design

  • Threat modeling and risk assessment

• Proven experience designing and securing:

  • Distributed, cloud-native platforms

  • Multi-tenant systems with strict data access controls

• Strong understanding of:

  • Data protection, encryption, and access control principles

  • Auditability, logging, and compliance frameworks

• Familiarity with:

  • Observability and detection engineering (SIEM, anomaly detection)

  • Attack vectors and security risks in modern application architectures

Desired Qualifications:

• Experience with GenAI / AI/ML security, including:

  • Prompt injection and adversarial attacks

  • Data leakage and model misuse risks

  • Guardrails and safety evaluation frameworks

• Experience securing:

  • RAG architectures, vector databases, and retrieval pipelines

  • Agent-based or multi-agent systems

• Experience in regulated environments (financial services strongly preferred)

• Familiarity with:

  • OWASP LLM / agentic security risks

  • Model governance, lineage, and compliance metadata

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

Minimum Education Requirements: Bachelor Degree or Equivalent Professional Experience

Shift:

1st shift (United States of America)

Hours Per Week:

40