Role overview
The Senior AI Engineer will design, develop, and deploy artificial intelligence and machine learning solutions that support Panasonic Automotive’s digital transformation, engineering productivity, and business innovation initiatives. This role will partner with cross-functional teams to build scalable AI-enabled applications, integrate enterprise data sources, and promote responsible, secure, and effective use of AI technologies.
Responsibilities
- Design, develop, and deploy AI and machine learning solutions that address business and engineering use cases.
- Build and optimize generative AI applications, including chatbots, document intelligence tools, workflow automation, and knowledge retrieval solutions.
- Develop prompts, agents, APIs, and integrations that connect AI capabilities with enterprise systems and data sources.
- Collaborate with engineering, IT, cybersecurity, data, and business teams to identify opportunities for AI-driven improvements.
- Evaluate, test, and implement large language models, machine learning models, and AI frameworks based on business requirements.
- Create scalable and maintainable AI pipelines, services, and applications using modern software engineering practices.
- Monitor AI solution performance, accuracy, security, cost, and user adoption.
- Support governance, responsible AI practices, and compliance requirements for enterprise AI usage.
- Document technical designs, deployment steps, operating procedures, and support guidelines.
- Mentor team members and share best practices for AI engineering, automation, and software development.
Basic qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field.
- 5+ years of professional software engineering, data engineering, machine learning engineering, AI
- Hands-on experience developing AI or machine learning solutions using Python, APIs, cloud services, and modern development frameworks.
- Experience working with generative AI, large language models, retrieval-augmented generation, prompt engineering, embeddings, or vector databases.
- Experience designing and deploying scalable applications, services, or automation workflows.
- Strong understanding of software development lifecycle practices, including version control, testing, documentation, CI/CD, and production support
- Ability to translate business requirements into technical designs and working solutions.
- Strong analytical, problem-solving, communication, and collaboration skills.
- Ability to work effectively with cross-functional teams in a fast-paced environment.
- Familiarity with data privacy, cybersecurity, access control, and responsible AI principles.
- Great Medical/Dental Benefits
- Company-Matched 401K Retirement Savings
- Annual Bonus Program
- Educational Assistance
- Relaxed Dress Code
- PASATalks Speaker Summits
- Leadership & Mentorship Programs
- High5 Reward Recognition Program
- Onsite Happy Hours
- And many more benefits & perks found within the ‘Our Culture’ section…
Tags & focus areas
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