AI & Automation Engineer
You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities.
Key Responsibilities
Design and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activities
Build and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence review
Integrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platforms
Develop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environments
Collaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation tools
Identify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AI
Ensure 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 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.