Senior Applied AI & ML Solutions Engineer

Daimler AG (Canada); Atlanta (GA); On-site; USD 140,000 - 210,000; Full time

Job summary

Mercedes-Benz USA in Atlanta seeks an Applied AI/ML Solutions Engineer to design, develop, and deploy AI-powered solutions across the enterprise. You will work with data scientists, AI engineers, and business stakeholders to create copilots, intelligent assistants, and agent-based systems that scale in production.

The role emphasizes Python/SQL proficiency, cloud platforms (Azure/AWS), and enterprise integration while upholding standards for performance, security, and reliability.

Qualifications

• 8+ years of software/ML engineering or related disciplines.
• Experience designing, building, and operating enterprise AI/ML platforms.
• Strong understanding of cloud-native architectures, MLOps, deployment automation, monitoring.

Responsibilities

• Design, build, and deploy AI-powered copilots, assistants, and agent-based solutions.
• Translate business requirements into scalable architectures and working solutions.
• Integrate AI with enterprise apps, APIs, and operational systems.
• Deliver production-ready solutions meeting performance, security, and supportability standards.
• Leverage AI platforms, LLMOps, and productization frameworks to accelerate delivery.
• Mentor engineers and share best practices across AI portfolio.

Skills

Python

SQL

Production AI apps

REST APIs

CI/CD

Solution architecture

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field

Master's degree in Computer Science, Engineering, AI/ML, or related field

Tools

Azure Databricks

Azure (cloud)

AWS

Azure OpenAI / AWS Bedrock

LLM platforms

REST APIs tooling

Job description

Mercedes-Benz USA in Atlanta seeks an Applied AI/ML Solutions Engineer to design, develop, and deploy AI-powered solutions across the enterprise. You will work with data scientists, AI engineers, and business stakeholders to create copilots, intelligent assistants, and agent-based systems that scale in production.

The role emphasizes Python/SQL proficiency, cloud platforms (Azure/AWS), and enterprise integration while upholding standards for performance, security, and reliability.