Application Modernization Lead

Stellantis•Auburn Hills, MI

About The Position

As part of Stellantis’ digital transformation, we are accelerating enterprise-wide modernization initiatives to reduce datacenter footprint, modernize legacy applications, and migrate critical workloads to cloud‑native platforms. To scale these efforts, we are establishing an AI‑powered Application Modernization Factory, leveraging agentic AI and GitHub Copilot to industrialize modernization across domains. We are seeking a technical lead to design, build, and scale this capability, enabling faster, more predictable, and repeatable transformation at scale.

Requirements

Bachelor’s degree in Engineering, Computer Science, or a related field
Minimum 5 years of experience in large-scale cloud or application modernization programs
Strong expertise in cloud architectures (AWS and/or Azure)
Proven experience with CI/CD pipelines and developer toolchains (e.g., GitHub, automation pipelines, quality tooling)
Hands-on experience or strong interest in AI-driven software modernization, including tools such as GitHub Copilot, Copilot Agents, Claude, or Codex
Solid architectural judgment and problem-solving capabilities
Ability to operate effectively in complex enterprise environments
Strong communication, collaboration, and influence skills
Experience driving cross-functional transformation initiatives

Responsibilities

Define and implement the AI‑powered modernization factory model
Design and standardize modernization and migration patterns
Build AI-first pipelines leveraging GitHub Copilot, agentic AI, and complementary tooling
Establish scalable, reusable frameworks for enterprise modernization
Define and implement AI capabilities across the software lifecycle, including: Legacy code assessment and complexity analysis, Functional decomposition and domain modeling, Automated refactoring and migration to cloud-native architectures, Security, IAM, and compliance validation, Test generation, regression testing, and UAT acceleration
Act as a technical lead and thought leader, driving adoption across IT domains
Collaborate with security, cloud, DevOps, and platform teams
Define and promote new ways of working for AI-driven transformation
Influence architectural decisions and modernization strategies across the organization
Lead and support transformation across key domains: Identity & Access Management (IAM) modernization and legacy system retirement, Migration of legacy applications to cloud-native architectures, Mainframe transformation and cloud offloading strategies