22 days ago
Charlotte, NC, USASenior

Responsibilities

  • Implement and maintain security controls for AI-enabled applications, agentic workflows, intelligent automation solutions, and AI platforms.
  • Securely integrate AI services, APIs, orchestration frameworks, and external tool connections.
  • Configure and validate identity, access, secrets management, logging, monitoring, and deployment safeguards.
  • Conduct security architecture reviews, threat modeling, AI security assessments, vulnerability assessments, adversarial testing, and deployment-readiness reviews.
  • Build monitoring, alerting, and detection capabilities for suspicious prompts, unusual workflow behavior, unauthorized access, and policy violations.
  • Partner with software engineering, platform, product, architecture, and cybersecurity teams on secure implementations and remediation.
  • Document findings, recommendations, remediation activities, validation results, implementation guides, runbooks, and operational procedures.
  • Support automation and continuous improvement of AI security controls, testing practices, monitoring, and implementation standards.

Requirements

  • Bachelor’s degree or equivalent education, training, and work-related experience.
  • At least 5 years of experience in security engineering or related cybersecurity roles.
  • Advanced knowledge of cybersecurity principles, threat modeling, security testing, and penetration testing.
  • Experience with software development lifecycle security practices and complex information security technologies.
  • Understanding of AI and LLM security concepts including prompt injection, jailbreaks, sensitive data exposure, tool-use risks, model misuse, and output handling.
  • Knowledge of cloud-native security, access control, identity management, secrets handling, secure integration design, monitoring, logging, alerting, and observability.
  • Familiarity with no-code, low-code, and pro-code development environments and AI-enabled applications or generative AI solutions.
  • Strong analytical, troubleshooting, problem-solving, written communication, and verbal communication skills.
  • Preferred experience with enterprise applications, APIs, cloud-native solutions, distributed systems, security reviews, vulnerability management, threat modeling, and remediation.
  • Preferred experience with Azure security services, Azure AI Services, Azure OpenAI, Azure AI Foundry, Copilot Studio, AWS, Amazon Bedrock, RAG, vector databases, agent orchestration frameworks, and AI workflow platforms.
  • Preferred experience in regulated industries or governance, compliance, and audit-driven technology environments.
  • Industry certifications such as Security+, Azure Security Engineer Associate, AWS Security Specialty, CISSP Associate, or GIAC certifications are preferred.

Benefits

  • Medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan for eligible employees.
  • At least 10 days of vacation, 10 sick days, and paid holidays during the first year, prorated as applicable.
  • The position is regular rather than temporary; benefits eligibility generally applies to teammates working 20 or more hours per week.
  • Depending on position and division, additional benefits may include a defined benefit pension plan, restricted stock units, and deferred compensation.

Tech Stack

Categories

Truist Financial Corporation

About Truist Financial Corporation

10,000+ employees

Truist Financial Corporation provides consumer, small‑business, and commercial banking, plus capital markets, payments, mortgage, and wealth management services across the U.S. It earns interest and fee income from deposits, lending, investment banking, and advisory services delivered through Truist Bank and affiliates. The company was formed in 2019 by the merger of BB&T and SunTrust Banks and is headquartered in Charlotte, North Carolina; it is publicly traded on the NYSE (ticker: TFC).

Contact me