Role OverviewThe AI Solutions Engineer is a hands-on technical role within Mercedes-Benz USA (MBUSA) Information Technology. You will partner with business and technology teams to identify high-value opportunities and transform AI concepts into secure, scalable, production-ready solutions.
What You Will Do
As an AI Solutions Engineer, you will own the technical lifecycle of priority AI use cases—from discovery and feasibility assessment through architecture, development, production deployment, adoption, monitoring, and continuous improvement.
Why It Might Be a Fit
You will help shape how AI is applied responsibly and at scale within a globally recognized automotive company, working directly with teams across the organization, turning high-value ideas into dependable solutions, and establishing engineering practices that enable faster delivery, stronger controls, and sustained business impact.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or an equivalent combination of education and experience.
- Nine or more years of software, platform, cloud, integration, or solution engineering experience, including recent hands-on delivery of AI-enabled solutions.
- Practical experience with large language models, generative AI, RAG, prompt and evaluation techniques, and cloud AI services on Azure, AWS, or Google Cloud.
- Strong programming skills in Java, Python, and/or TypeScript/JavaScript.
- Experience with APIs, microservices, identity and access controls, CI/CD, containers, observability, and enterprise integration patterns.
- Strong analytical, problem-solving, communication, and stakeholder-management skills.
Benefits
- Competitive salary
- Equity
- Healthcare
- PTO
- Retirement
- Learning budget
- Parental leave
- Wellness
- Visa/relocation
- Remote flexibility
- Stipends
- Bonus/commission
- Paid holidays
]]>