Job Description
This role is responsible for defining and leading the engineering approach for complex features that deliver significant business outcomes. The engineer will design and implement end‑to‑end solutions, drive development efficiencies, and provide technical thought leadership across multiple software implementations within Global Markets GenAI Technology.
Responsibilities
- Ensure consistency of design and engineering approaches for complex features with the broader portfolio solution.
- Define the technology tool stack and evaluate/adapt new testing tools, frameworks, and practices for the team(s).
- Enable team(s)/applications with CI/CD capabilities and collaborate with technical stakeholders to maintain efficient pipelines.
- Guide and influence teams on design and best practices for high code performance, including pairing and code reviews.
- Deliver end‑to‑end delivery of complex features, including automation, for one or multiple teams at the program level.
- Conduct research, design prototypes, and explore new toolsets and components for release management, CI/CD, and features.
- Work 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.
- Experience in threat modeling and risk assessment.
- Proven track record designing and securing distributed, cloud‑native platforms and multi‑tenant systems with strict data access controls.
- Strong understanding of data protection, encryption, access control principles, auditability, logging, and compliance frameworks.
- Familiarity with observability and detection engineering (SIEM, anomaly detection) and major attack vectors in modern application architectures.
Desired Qualifications
- Experience with GenAI/AI/ML security, including prompt injection, adversarial attacks, data leakage, and model misuse risks.
- Knowledge of guardrails and safety evaluation frameworks for large language models.
- Experience securing RAG architectures, vector databases, and retrieval pipelines.
- Experience with agent‑based or multi‑agent systems.
- Experience in regulated environments (financial services preferred).
- Familiarity with OWASP LLM / agentic security risks and model governance, lineage, and compliance metadata.
Minimum Education & Shift
Bachelor’s degree or equivalent professional experience. 1st shift (United States).
Compensation & Benefits
Pay range: $122,000.00 – $200,000.00 annualized salary, based on experience, education, and skill set.
Discretionary incentive: Eligible for an annual discretionary award based on overall performance and business results.
Benefits: Industry‑leading benefits, paid time off, and resources to support physical, emotional, and financial well‑being.
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