Senior Enterprise AI Solutions Engineer

Mercedes-Benz Group; Atlanta (GA); On-site; USD 150,000 - 190,000; Full time

Job summary

Mercedes-Benz USA seeks an Applied ML/AI Solutions Engineer to design, build, and deploy AI-powered copilots and agent-based solutions across enterprise systems. You will translate business needs into scalable architectures and lead technical delivery with cross-functional teams.

The role emphasizes cloud-native AI, MLOps, and production readiness, with collaboration across data scientists, engineers, and business stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.
• 8+ years of experience in software engineering, machine learning engineering, AI platform engineering, or related disciplines.
• Demonstrated experience designing, building, and operating enterprise AI/ML platforms.
• Strong understanding of cloud-native architectures, MLOps, deployment automation, monitoring, and production operations.
• Experience building reusable engineering frameworks, platform services, or shared infrastructure capabilities.
• Strong communication, collaboration, and stakeholder management skills.

Responsibilities

• Design, develop, and deploy AI-powered applications, copilots, assistants, and agent-based solutions.
• Translate business requirements into scalable technical architectures and working solutions.
• Integrate AI capabilities with enterprise applications, APIs, and operational systems.
• Deliver production-ready solutions that meet standards for performance, reliability, security, and supportability.
• Leverage established AI platform, LLMOps, and productization frameworks to accelerate delivery.
• Contribute code, technical leadership, and best practices across the AI solution portfolio.
• Define solution architectures and technical designs for AI initiatives.
• Evaluate technologies, frameworks, and implementation approaches.
• Align solutions with enterprise architecture, security, and governance standards.
• Support planning, estimation, and technical execution activities.
• Establish and uphold standards for code quality, testing, documentation, and operational readiness.
• Evaluate emerging AI technologies and development approaches.
• Contribute reusable patterns that improve delivery efficiency and consistency.
• Partner with business stakeholders, product teams, and engineering teams to drive successful outcomes.
• Mentor engineers and share expertise across the organization.
• Support knowledge sharing, cross-training, and team resilience initiatives.

Skills

Python

SQL

Azure Databricks

Cloud platforms

LLM platforms

REST APIs

CI/CD

Enterprise integration

Education

Bachelor's degree in CS/Engineering or related field

Tools

LangChain

LangGraph

Job description

Mercedes-Benz USA seeks an Applied ML/AI Solutions Engineer to design, build, and deploy AI-powered copilots and agent-based solutions across enterprise systems. You will translate business needs into scalable architectures and lead technical delivery with cross-functional teams.

The role emphasizes cloud-native AI, MLOps, and production readiness, with collaboration across data scientists, engineers, and business stakeholders.