Note: The job is a remote job and is open to candidates in USA. Delta Dental of Missouri is seeking a Principal Enterprise Security & AI Engineering Architect who will be responsible for defining the future of software engineering and AI-enabled development. This role provides enterprise-wide technical leadership and requires broad expertise in software engineering, architecture, cybersecurity, and AI engineering disciplines.
Responsibilities
- 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
- Define enterprise software engineering standards and development methodologies
- Modernize engineering practices across application development teams
- Establish reusable engineering frameworks, development accelerators, and engineering patterns
- Improve software quality through standardized engineering practices, automation, and engineering metrics
- Champion engineering excellence, developer productivity, and continuous improvement across the software development lifecycle
- Define enterprise secure software engineering standards and integrate security throughout every phase of the SDLC
- Establish secure-by-design engineering practices that enable developers to build secure applications by default
- Define standards for:
- Secure Coding
- Threat Modeling
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Software Composition Analysis (SCA)
- Software Supply Chain Security
- Secrets Management
- Infrastructure as Code Security
- Container and Kubernetes Security
- Vulnerability Management
- Partner closely with Cybersecurity to mature the enterprise Application Security Engineering program
- Promote a developer-first security culture that balances speed, productivity, and security
- Define and oversee secure adoption standards for AI-assisted development, including protection of source code, intellectual property, sensitive data, and model governance controls
- Define cloud-native engineering standards and modernization strategies
- Establish engineering standards for scalable, resilient, cloud-first applications
- Drive modernization across:
- CI/CD Pipelines
- Infrastructure as Code
- Platform Engineering
- Containers & Kubernetes
- API Management
- Event-Driven Architectures
- Observability
- Operational Automation
- Develop reusable engineering platforms that accelerate software delivery
- Collaborate with Enterprise Architecture to align engineering practices with enterprise technology strategy
- Define application architecture standards that improve scalability, interoperability, maintainability, resiliency, and performance
- Chair or participate in enterprise architecture review committees and governance processes related to software engineering standards, modernization initiatives, and AI Adoption
- Provide architectural leadership for modernization and digital transformation initiatives
- Bridge Enterprise Architecture, Application Architecture, Software Engineering, Infrastructure Engineering, Platform Engineering, and Cybersecurity disciplines
- Serve as the organization's principal technical authority for AI-enabled software engineering, secure software delivery, and engineering modernization
- Influence engineering strategy across software engineering, architecture, infrastructure, cybersecurity, cloud engineering, platform engineering, and product organizations
- Mentor engineers, architects, security professionals, and technical leaders
- Lead proof-of-concepts and reference implementations for emerging technologies
- Participate directly in architecture reviews, engineering innovation, and complex technical problem solving
- Remain hands-on in software architecture, engineering, automation, prototyping, and AI implementation
Skills
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; Master's degree preferred
- 15+ years of progressive experience designing, developing, securing, and modernizing enterprise technology solutions
- Demonstrated success operating as a senior technical leader (e.g., Principal Engineer, Distinguished Engineer, Architect, Director, or equivalent) within a large and complex organization
- Deep expertise across multiple domains of enterprise technology, including software engineering, application architecture, cloud platforms, infrastructure engineering, DevOps/DevSecOps, and platform engineering
- Experience establishing enterprise standards, reference architectures, governance models, and software engineering practices adopted across multiple teams or business units
- Strong understanding of modern software engineering, cloud-native architectures, distributed systems, automation, and developer productivity platforms
- Experience integrating security into software development through secure-by-design principles, DevSecOps practices, application security engineering, and software supply chain security
- Experience implementing or governing AI-assisted software development, AI engineering capabilities, or enterprise AI adoption initiatives
- Demonstrated success leading enterprise technology transformation initiatives and influencing organizational change through technical leadership rather than direct authority
- Exceptional communication, stakeholder management, analytical, and problem-solving skills
- Experience in healthcare, insurance, financial services, or another highly regulated industry
- Experience with public cloud platforms such as Azure, AWS, or GCP
- Experience with Kubernetes, platform engineering, and internal developer platforms
- Experience working with distributed, offshore, or vendor-supported teams
- Experience developing AI governance frameworks or enterprise AI engineering strategies
- Professional certifications such as CISSP, TOGAF, Azure Solutions Architect, AWS Solutions Architect, CKA, or equivalent
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