Opportunity

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.

Responsibilities

Integration Engineering & Solution Delivery

• 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

Technical Leadership

• 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

AI-Augmented Engineering

• 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

Scaling Team Productivity Through AI

• 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

Continuous Improvement & Innovation

• 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