Head of AI & Platform Engineering

E-470 OVERVIEW:

E-470 Public Highway Authority is a dynamic public agency managing the 47-mile toll facility on the eastern perimeter of the Denver Metro area. E-470 serves its customers as well as provides back-office tolling services for all other toll facilities in the State of Colorado. E-470 strives to provide top-notch customer service, improve safety, and save time for our drivers while being Colorado's one-stop shop for tolling services.

Description

We are seeking a highly experienced technology leader to guide the E-470 Platform, Cloud, and AI engineering efforts. This role has two main pillars: Platform and Cloud Engineering and AI strategy and engineering. First, working with the other E-470 teams, you will develop the strategic direction for our cloud infrastructure, and lead the efforts to move on-premise workloads to the cloud.

You will collaborate closely with engineering teams, product managers, and leadership to define and shape the cloud roadmap while providing hands-on guidance to the teams to deliver a cohesive and high-performing platform. You will also lead the transformation of our DevOps teams to best enable our E-470 platform design and engineering. You will responsible for developing a strategy and developing the team to serve the E-470 platform efforts.

The second key responsibility is to lead the E-470 strategy, design and implementation for AI. This includes developing high-value use cases, designing architectural and governance standards, and developing AI solutions that enable the E-470 internal teams and the E-470 business. This is a highly collaborative role, and success will depend on working with both business and technical teams.

This role will also ensure that AI capabilities are implemented responsibly, securely, and in alignment with organizational goals.

Examples of Duties

Platform & Cloud Engineering

• Lead the migration from on-premises infrastructure to cloud or hybrid architecture
• Define and maintain cloud and platform engineering standards, reference architectures, and operating models
• Establish internal platforms that provide CI/CD, infrastructure-as-code, observability, and developer self-service
• Ensure platform reliability, scalability, disaster recovery, and cost effectiveness
• Oversee cloud operations, performance monitoring, and vendor management
• Working with the development teams, design and implement effective monitoring and management

DevOps & DevSecOps Practices

• Establish standardized CI/CD pipelines and release processes across teams
• Embed security controls, compliance checks, and automated testing into development workflows
• Partner with Security and Compliance teams to ensure platforms meet regulatory and audit requirements
• Promote automation, reliability engineering, and continuous improvement

AI Strategy & Engineering

• Own and define the organization's AI strategy, roadmap, and guiding principles
• Identify, prioritize, and evaluate AI use cases in partnership with business, data, and operational leaders
• Define architectural standards for AI systems, including model deployment, integration, monitoring, and lifecycle management
• Ensure AI solutions meet security, privacy, ethical, and governance standards
• Oversee engineering enablement for AI workloads, including MLOps practices where applicable

Leadership & Collaboration

• Build, lead, and mentor platform, cloud, and AI engineering teams
• Serve as a key advisor to executive leadership on cloud, platform, and AI strategy
• Collaborate closely with application development, data, security, and business teams
• Manage budgets, vendors, and technology partners within public or quasi-government constraints

Typical Qualifications

Required

• 15+ years of experience in infrastructure, platform, cloud, or software engineering
• 10+ years of experience in a senior technical leadership role
• Proven experience leading on-premises to cloud transformations
• Strong background in DevOps and modern engineering practices
• Experience defining and leading AI strategy or enterprise AI initiatives
• Ability to balance innovation with security, compliance, and fiscal responsibility
• Strong communication skills with technical and non-technical stakeholders
• Experience in public sector, regulated, or mission-driven organizations

Preferred

• Familiarity with cloud platforms (AWS, Azure, or GCP)
• Experience supporting data-intensive or AI/ML workloads
• Knowledge of security, privacy, and governance frameworks relevant to AI systems

E-470 is an equal employment opportunity employer.

We provide fair and equitable opportunities to all employees and applicants.

Employment decisions are made without regard to race, color, religion, national origin, age, sex, disability, genetic information, or any other status protected by applicable laws. We are committed to maintaining a workplace where everyone is treated with respect, inclusion, and professionalism.