Principal Enterprise Security & AI Engineering Architect

DELTA DENTAL OF MISSOURI

Job Description

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Job Title: Principal Enterprise Security & AI Engineering Architect 

Job Code:  E1088

Grade Level: 33

FLSA Status: Exempt

Department:  IT

Reports To:   CIDO

Date Written:  June 2026

 

General Description

The Principal Enterprise Security & AI Engineering Architect is the organization's most senior individual contributor responsible for defining the future of software engineering, secure software delivery, Artificial Intelligence (AI)-enabled development, and engineering automation.

This role provides enterprise-wide technical leadership across software engineering, architecture, cybersecurity, cloud platforms, and AI engineering disciplines.

 

This role will be responsible for establishing the engineering standards, reference architectures, governance frameworks, modernization strategies, AI engineering practices, and developer productivity capabilities that improve how enterprise software is designed, developed, secured, deployed, and operated.

Success in this role will be achieved through technical expertise, organizational influence, innovation, collaboration, mentorship, and thought leadership rather than direct organizational authority.  The individual will work closely with executive leadership, enterprise architecture, cybersecurity, infrastructure, and application development teams to guide the evolution of enterprise technology capabilities and practices.

 

This role requires broad expertise spanning software engineering, architecture, cloud technologies, security engineering, DevSecOps, and AI-enabled development practices, along with a demonstrated ability to lead complex enterprise transformation initiatives.

 

Key Responsibilities


* AI Engineering Transformation



* Define and lead the organization's AI-enabled Software Development Life Cycle (AI-SDLC).



* Lead strategic enterprise AI engineering transformation initiative that establish and validate standards, automation, governance, and operating models for AI-enabled SDLC.



* Develop reusable engineering frameworks, reference architectures, governance models, automation capabilities, and best practices that become the standard for software delivery across the organization.



* Establish standards for AI-assisted software development including code generation, intelligent code reviews, automated testing, documentation, developer productivity, and AI-enabled engineering workflows.



* Evaluate, implement, and govern enterprise AI engineering platforms, coding assistants, agentic development capabilities, and intelligent developer productivity solutions.



* Define responsible AI engineering standards and governance that balance innovation, quality, security, compliance, and operational excellence.



* Continuously evaluate emerging AI technologies and integrate them into enterprise engineering practices.



* Software Engineer...