Senior Enterprise AI Solutions Engineer

Mercedes-Benz Vans USA; Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Phone allowance

Employee events

Health programs

Pension plan

Flexible hours

Employee discounts

Job summary

Mercedes-Benz USA is seeking an Applied ML/AI Solutions Engineer to design, build, and deploy AI-powered solutions across the enterprise. You will craft copilots, intelligent assistants, and agent-based workflows integrated with business processes and enterprise systems.

You will collaborate with data scientists, AI engineers, architects, and stakeholders to turn opportunities into scalable capabilities. The role emphasizes production-grade solutions, code quality, testing, and governance, with

Qualifications

• Bachelor's degree in a technical field; 8+ years in software/ML engineering or AI platform roles.
• Experience designing, building, and operating enterprise AI/ML platforms.
• Strong knowledge of cloud-native architectures, MLOps, deployment automation, monitoring.

Responsibilities

• Design, develop, and deploy AI-powered applications and copilots.
• Translate business needs into scalable architectures and solutions.
• Integrate AI capabilities with enterprise apps and APIs.
• Deliver production-ready solutions with performance, security, and reliability.

Skills

Python

SQL

AI applications

CI/CD

REST APIs

MLOps

Solution architecture

Education

Bachelor's degree in CS/Engineering/DS/IS

Master's degree (preferred)

Tools

Azure Databricks

Cloud platforms (Azure/AWS)

Vector databases

LangChain (preferred)

Job description

Mercedes-Benz USA is seeking an Applied ML/AI Solutions Engineer to design, build, and deploy AI-powered solutions across the enterprise. You will craft copilots, intelligent assistants, and agent-based workflows integrated with business processes and enterprise systems.

You will collaborate with data scientists, AI engineers, architects, and stakeholders to turn opportunities into scalable capabilities. The role emphasizes production-grade solutions, code quality, testing, and governance, with