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.