Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
S
Stellantis
AI Automation Engineer
Career Insights for Artificial Intelligence Engineer (General)
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Michigan data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$118,850 / year median in Michigan
Job Description
Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI-enabled solutions that streamline the Verification & Validation (V&V) lifecycle. This role develops automation tools, software applications, and intelligent workflows that increase efficiency, improve quality, and accelerate delivery across engineering teams. You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities.
Key ResponsibilitiesDesign and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activitiesBuild and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence reviewIntegrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platformsDevelop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environmentsCollaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation toolsIdentify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AIEnsure scalable, maintainable, and well-documented code following software development best practices
Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++.7+ years of relevant experience in this fieldExperience developing software tools, automation scripts, APIs, data pipelines, or workflow automation solutions.
Understanding of software development fundamentals, including version control, debugging, testing, documentation, and maintainable code design.
Ability to analyze engineering processes and translate them into structured automation solutions.
Strong problem-solving, communication, and collaboration skills.
Basic familiarity with AI-enabled tools, generative AI concepts, or AI-assisted software development, with interest in applying AI to engineering automation use cases.
Experience developing dashboards, web applications, internal engineering tools, or user-facing automation platforms.
Experience with front-end or full-stack development using technologies such as React, TypeScript, or similar frameworks.
Familiarity with SQL, relational databases, data modeling, or database-driven application development.
Familiarity with cloud platforms, containers, data platforms such as Databricks or similar, and CI/CD tools such as TeamCity, Jenkins, GitHub Actions, Azure DevOps, or similar.
Experience working with global teams and supporting adoption of new tools, methods, or automation practices.
Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI-enabled solutions that streamline the Verification & Validation (V&V) lifecycle. This role develops automation tools, software applications, and intelligent workflows that increase efficiency, improve quality, and accelerate delivery across engineering teams. You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities.
Key ResponsibilitiesDesign and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activitiesBuild and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence reviewIntegrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platformsDevelop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environmentsCollaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation toolsIdentify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AIEnsure scalable, maintainable, and well-documented code following software development best practicesAt Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
Key ResponsibilitiesDesign and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activitiesBuild and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence reviewIntegrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platformsDevelop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environmentsCollaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation toolsIdentify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AIEnsure scalable, maintainable, and well-documented code following software development best practices
Basic Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++.7+ years of relevant experience in this fieldExperience developing software tools, automation scripts, APIs, data pipelines, or workflow automation solutions.
Understanding of software development fundamentals, including version control, debugging, testing, documentation, and maintainable code design.
Ability to analyze engineering processes and translate them into structured automation solutions.
Strong problem-solving, communication, and collaboration skills.
Basic familiarity with AI-enabled tools, generative AI concepts, or AI-assisted software development, with interest in applying AI to engineering automation use cases.
Preferred Qualifications:
Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development.Experience developing dashboards, web applications, internal engineering tools, or user-facing automation platforms.
Experience with front-end or full-stack development using technologies such as React, TypeScript, or similar frameworks.
Familiarity with SQL, relational databases, data modeling, or database-driven application development.
Familiarity with cloud platforms, containers, data platforms such as Databricks or similar, and CI/CD tools such as TeamCity, Jenkins, GitHub Actions, Azure DevOps, or similar.
Experience working with global teams and supporting adoption of new tools, methods, or automation practices.
Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI-enabled solutions that streamline the Verification & Validation (V&V) lifecycle. This role develops automation tools, software applications, and intelligent workflows that increase efficiency, improve quality, and accelerate delivery across engineering teams. You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities.
Key ResponsibilitiesDesign and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activitiesBuild and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence reviewIntegrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platformsDevelop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environmentsCollaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation toolsIdentify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AIEnsure scalable, maintainable, and well-documented code following software development best practicesAt Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.