Senior AI Engineer

Panasonic Automotive North America · Farmington Hills, MI · 3 wk ago

HybridEngineeringFull-time

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.

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.
Able to work effectively with cross-functional teams in a fast-paced environment.
Familiarity with data privacy, cybersecurity, access control, and responsible AI principles.

Must have a bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field.
Must have 5+ years of professional software engineering, data engineering, machine learning engineering, AI experience.
Must have hands-on experience developing AI or machine learning solutions using Python, APIs, cloud services, and modern development frameworks.
Must have experience working with generative AI, large language models, retrieval-augmented generation, prompt engineering, embeddings, or vector databases.
Must have experience designing and deploying scalable applications, services, or automation workflows.
Must have a strong understanding of software development lifecycle practices, including version control, testing, documentation, CI/CD, and production support.
Must have the ability to translate business requirements into technical designs and working solutions.
Must have strong analytical, problem-solving, communication, and collaboration skills.
Must be able to work effectively with cross-functional teams in a fast-paced environment.
Must have familiarity with data privacy, cybersecurity, access control, and responsible AI principles.

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