Director of Secure AI & Application Development

Director of Secure AI & Application Development page is loaded## Director of Secure AI & Application Development locations:
US - Georgia - Atlanta Office time type:
Full time posted on:
Posted 8 Days Agojob requisition :
R0000993

Candescent is the leading cloud-based digital banking solutions provider for financial institutions. We are transforming digital banking with intelligent, cloud-powered solutions that connect account opening, digital banking, and branch experiences for financial institutions. Our advanced technology and developer tools enable seamless, differentiated customer journeys that elevate trust, service, and innovation. Success here requires flexibility in a fast-paced environment, a client-first mindset, and a commitment to delivering consistent, reliable results as part of a performance-driven, values-led team.  

With team members around the world, Candescent is an equal opportunity employer.##
** Job Summary
** The Executive
** Director of Secure AI & Application Development
** at
** Candescent
* * will lead the strategic direction, development, and execution of the enterprise-wide application security program with specialized focus on AI/ML security for SaaS products serving regulatory enterprises. This role is responsible for embedding security into the software development lifecycle (SDLC) and AI development lifecycle (AIDLC), partnering with engineering, product data science, AI/ML engineering, and infrastructure teams to ensure secure design, development, and deployment of AI-powered applications.

The ideal candidate will be a visionary leader with deep technical expertise in both security and AI/ML security, strong business acumen, regulatory compliance expertise, and a proven track record of building and scaling secure development practices in complex Saas and AI-driven environments.
** Key Responsibilities and Deliverables
**** Strategic Leadership
*** Define and drive the application and AI/ML security strategy aligned with Candescent’s business and risk objectives for regulatory enterprise clients.
* Lead the development and execution of secure SDLC and AI development lifecycle (AIDLC) practices across all engineering and data science teams.
* Serve as a trusted advisor to senior leadership on application security risks, AI/ML security risks, model governance, trends, and mitigation strategies.
* Establish AI security governance frameworks that meet regulatory requirements (EU AI Act, NIST AI RMF, ISO 42001).
* Develop security strategies for AI supply chain, third-party AI integrations, and LLM/GenAI implementations.
** Program Development & Execution
*** Build and mature the application security program, including threat modeling, secure coding, code reviews, and security testing across traditional applications and AI/ML systems.
* Develop and maintain security standards, policies, and guidelines for application development and AI model development, training, and deployment.
* Oversee the integration of security tools (SAST, DAST, SCA, IAST, RASP) and AI security tools (model scanning, adversarial testing, data poisoning detection, model monitoring) into CI/CD and ML pipelines.
* Implement MLSecOps practices and secure AI pipeline architectures.
* Establish data governance and privacy controls for AI training data, including PII handling and data lineage tracking.
* Create security frameworks for model versioning, model registry security, and secure model serving.
** Collaboration & Enablement
*** Partner with Dev Ops, Engineering, Data Science, ML Engineering, and Product teams to ensure security is embedded early and continuously.
* Lead security champions programs and developer and data scientist training initiatives to foster a security-first culture with specialized AI security awreness.
* Collaborate with GRC, Risk, and Compliance teams to ensure regulatory and policy alignment specific to AI regulations and industry-specific requirements (HIPAA, SOC 2, GDPR, CCPA for AI systems).
* Work closely with customer-facing teams to address client security requirements and regulatory audit needs.
* Partner with legal and compliance teams on AI ethics, explainability, and bias mitigation…