Principal Integration Engineer

DeVry University

2d•$165,000 - $185,000•Hybrid

About The Position

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces. Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners. We are seeking a highly skilled Principal Integration Engineer (AI-Native) who combines deep hands-on engineering expertise with a modern AI-first approach to software development. This role is responsible for designing, building, and scaling APIs, integrations, and reusable services while serving as the technical lead for an offshore development team. The ideal candidate is a builder who thrives in fast-paced environments, embraces ownership, and leverages AI as a core component of development, design, and delivery. This individual will operate as a force multiplier—using AI-enabled workflows to significantly increase engineering velocity, improve quality, accelerate delivery, and amplify team productivity. This role requires a strong balance of technical leadership, hands-on coding, integration architecture, and AI-augmented engineering practices to drive scalable and cost-effective solution delivery. Success in this role will be measured by the ability to accelerate integration delivery through AI-enabled development practices. Key outcomes include increased team velocity, faster integration build times, greater reuse of integration components, broader adoption of AI workflows, and reduced cost per integration delivered.

Requirements

Deep hands-on engineering expertise
Modern AI-first approach to software development
Ability to design, build, and scale APIs, integrations, and reusable services
Technical leadership
Hands-on coding
Integration architecture
AI-augmented engineering practices
Ability to drive scalable and cost-effective solution delivery
Ability to accelerate integration delivery through AI-enabled development practices
Experience as a builder who thrives in fast-paced environments
Embraces ownership

Nice To Haves

AI-Native

Responsibilities

Design, develop, and maintain APIs, services, and enterprise integrations with hands-on coding responsibilities
Build scalable, reliable, and reusable integration solutions across systems and platforms
Define and implement modern integration architectures, including: API-first design, Event-driven architectures, Reusable service and integration patterns
Create reusable integration assets and frameworks that reduce duplication and accelerate future delivery
Partner with business and technology teams to deliver solutions quickly and effectively
Serve as the technical lead for offshore development resources
Translate architectural designs and technical requirements into executable development work
Provide implementation guidance through patterns, reference architectures, and working examples
Conduct code reviews and ensure adherence to engineering standards, security requirements, and best practices
Drive consistency, quality, and maintainability across integration solutions
Leverage AI as a core component of software development, design, testing, and delivery
Utilize AI tools to: Generate code, test cases, and technical documentation; Rapidly prototype integration patterns and solution designs; Automate repetitive development, testing, and integration activities; Accelerate debugging, root cause analysis, and system understanding
Continuously evaluate and adopt emerging AI capabilities to improve engineering productivity and solution quality
Operate as an AI-augmented engineer capable of delivering significantly greater output than traditional development approaches
Enable offshore developers through AI-assisted development workflows
Introduce tools, prompts, templates, and engineering patterns that increase team throughput
Establish AI-enabled practices that reduce delivery cycle times and improve consistency
Share knowledge and coach team members on effective AI usage for software development and integration delivery
Drive adoption of AI workflows across the engineering organization
Identify opportunities to streamline integration development processes and reduce operational overhead
Champion automation, reuse, and standardization across integration initiatives
Measure and optimize engineering effectiveness through data-driven improvements
Stay current with industry trends in integration architecture, cloud technologies, APIs, and AI-assisted software engineering