Candescent is a forward-thinking technology company transforming how financial institutions deliver Intelligent Banking experiences. We unite digital banking, account opening, and branch solutions that power and connect digital banking, account opening, and branch solutions-creating seamless engagement across digital, remote, and in-person channels.
Our Experience-Led, Intelligence-Driven approach combines human-centered design with data, automation, and cloud-based innovation. Built on an API-first architecture, our extensible ecosystem enables institutions to adapt quickly, integrate easily, and unlock new opportunities for growth-turning every customer interaction into a moment of clarity, confidence, and connection.
Role Summary
We are seeking an AI Security Engineer to own the security of how we adopt and integrate third-party artificial intelligence and large language model (LLM) services across the enterprise. This is a practitioner role for someone with a strong security engineering foundation who has developed meaningful expertise in AI/ML security risks - or who is actively building that expertise and ready to own it as their primary charter.
As an enterprise consumer of AI services, our risk surface centers on how we connect to and use external AI providers - securing API integrations, controlling data exposure, governing adoption of AI tools across the organization, and ensuring AI usage aligns with our regulatory obligations. This role is not focused on building or training AI models.
Key Responsibilities and Deliverables
Secure AI Integration
AI Security Governance
Threat Identification & Engineering Controls
Cross-Functional Partnership
Requirements
Bachelor's degree in Computer Science, Information Security, Engineering, or a related technical discipline or equivalent practical experience.
7+ years of experience in security engineering, application security, cloud security, or a closely related discipline.
Hands-on experience securing cloud-native environments and API-based integrations (AWS, Azure, or GCP).
Solid understanding of authentication, authorization, secrets management, and data protection in distributed systems.
Ability to assess technical risk and translate findings into actionable engineering controls and governance language.
Working knowledge of AI/ML security risks relevant to an enterprise consumer context: prompt injection, data leakage, insecure API integration, shadow AI, model output manipulation, and AI supply chain risk.
Familiarity with OWASP LLM Top 10 and MITRE ATLAS as applied threat frameworks.
Experience with or meaningful exposure to securing integrations with LLM service providers (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, OpenAI).
Demonstrated engagement with AI security as an area of active professional focus - through applied work, research, certifications, or equivalent.
Security Foundations (any of the following)
Preferred
Statement to Third Party Agencies
To ALL recruitment agencies: Candescent only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, Candescent employees, or any Candescent facility. Candescent is not responsible for any fees or charges associated with unsolicited resumes.
| Location | Atlanta, GA |
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