AI & Test Automation Lead

Alstom • Pittsburgh, PA

3d • Hybrid

About The Position

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time hybrid AI and Test Automation Lead in Pittsburgh, PA, US we’re looking for? Your future role Take on a new challenge and apply your AI and test automation expertise in a new cutting-edge field. You’ll work alongside innovative and collaborative teammates. You'll ensure the quality, reliability, and performance of software applications, driving impactful QA transformation from manual to automated methods at scale. Day-to-day, you’ll work closely with teams across the business (developers, AI experts, and cross-functional stakeholders), analyze software test results to provide actionable insights, and refine AI models to improve test generation accuracy, and much more.

Requirements

• Degree in Engineering, Computer Engineering, Computer Science, or similar field.
• Experience or understanding of applying AI/ML for test automation, such as using machine learning or natural language processing to generate test cases/scripts.
• Knowledge of software testing methodologies, including manual and automated testing.
• Familiarity with programming languages like Python, Java, or C++.
• Strong communication skills to explain complex AI concepts to various stakeholders.
• Proficiency in developing automated testing frameworks (e.g., Robot Framework) and writing robust automated test scripts.
• Hands-on experience with LLM APIs (e.g., OpenAI, Ollama) and a deep understanding of transformer architectures, attention mechanisms, and model capabilities.
• Experience with vector databases, embedding models for semantic search, and prompt engineering techniques.
• Strong knowledge of DevOps practices and MLOps, including model versioning, monitoring, and deployment.
• Ability to collaborate effectively with cross-functional teams and lead testing teams or initiatives.

Nice To Haves

• Proficiency in Python development with strong software engineering fundamentals and experience with ML frameworks like PyTorch, TensorFlow, and the Hugging Face ecosystem.

Responsibilities

• Developing and implementing automated testing frameworks (e.g., Robot Framework or similar) and writing robust automated test scripts.
• Applying AI/ML techniques, such as natural language processing and machine learning, to generate test cases/scripts and improve test generation accuracy.
• Refining AI models or collaborating with AI experts to enhance test automation capabilities.
• Building and deploying applications using LLM APIs (e.g., OpenAI, Ollama) and leveraging transformer architectures, attention mechanisms, and embedding models for semantic search.
• Employing MLOps practices, including model versioning, monitoring, and deployment, to ensure seamless integration of AI models into testing pipelines.
• Demonstrating expertise in DevOps practices to streamline testing workflows and improve software delivery.
• Leading testing teams or initiatives, providing training, and driving QA transformation from manual to automated methods at scale.
• Communicating complex AI and testing concepts effectively to both technical and non-technical stakeholders.
• Collaborating with cross-functional teams to identify and resolve software defects and ensure software meets required standards before release.

Benefits

• Work with cutting-edge AI technologies, advanced testing frameworks, and innovative DevOps practices to ensure software quality and reliability
• Progress towards becoming a leader in AI-driven test automation, while enhancing your expertise in machine learning, MLOps, and software engineering fundamentals
• Collaborate with transverse teams and helpful colleagues
• Contribute to innovative projects
• Steer your career in whatever direction you choose across functions and countries
• Benefit from our investment in your development, through award-winning learning

What This Job Offers

• Job Type: Full-time
• Career Level: Senior