The Role
Design and build AI-enabled automation tools and workflows for Verification & Validation. Develop scripts, APIs, CI/CD-integrated solutions, and AI-assisted features for requirements analysis, test generation, traceability, and validation evidence review. Lead pilots, drive adoption, collaborate globally, and support production deployment and documentation to reduce manual effort and improve engineering efficiency and quality.
Summary Generated by Built In
Job Summary & Responsibilities
The AI & Automation Engineer will support the development of AI-enabled automation solutions across the Verification & Validation lifecycle. This role will focus on building practical software tools, automation workflows, and AI-assisted capabilities that improve engineering efficiency, standardization, reuse, and quality.
Key responsibilities include:
- Develop software tools, scripts, APIs, and automation workflows to support V&V engineering activities.
- Build AI-enabled solutions that assist with requirements analysis, DVP creation, test generation, traceability, and validation evidence review.
- Integrate automation capabilities with engineering tools, databases, dashboards, CI/CD pipelines, and validation platforms.
- Support proof-of-concepts, pilots, user feedback, documentation, and production deployment.
- Collaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption.
- Identify opportunities to reduce manual effort, improve consistency, and accelerate validation delivery.
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 field
- Experience 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.
Skills Required
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related technical field.
- 7+ years of relevant experience in AI, automation, or software engineering.
- Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++.
- Experience 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 and interest applying AI to engineering automation.
- Experience with AI, machine learning, generative AI, large language models, RAG, vector search, or prompt engineering.
- Experience developing dashboards, web applications, internal engineering tools, or user-facing automation platforms.
- Front-end or full-stack development experience with React, TypeScript, or similar frameworks.
- Familiarity with SQL, relational databases, and data modeling.
- Familiarity with cloud platforms, containers, data platforms (e.g., Databricks), and CI/CD tools (TeamCity, Jenkins, GitHub Actions, Azure DevOps).
- Experience working with global teams and supporting adoption of new tools and automation practices.
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
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Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
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Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
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The Company
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
