Applied AI/ML Solutions Engineer

Selectrucks; Atlanta (GA); On-site; USD 150,000 - 230,000; Full time

Job summary

Mercedes‑Benz USA, LLC is seeking an Applied AI/ML Solutions Engineer to design, build, and deliver AI-powered solutions across MBUSA. You will work with data scientists, AI engineers, and stakeholders to translate requirements into scalable architectures and production-ready capabilities.

The role emphasizes Python/SQL, cloud platforms (Azure/AWS), and enterprise LLM platforms. You will mentor engineers, contribute to AI solution portfolios, and drive architectural excellence across the

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field.
• 8+ years of experience in software or ML engineering roles.
• 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 infrastructure or platform services.

Responsibilities

• Applied AI Solution Delivery, design and deploy AI-powered applications and agents.
• Translate business requirements into scalable architectures and working solutions.
• Integrate AI with enterprise apps, APIs, and operational systems.
• Deliver production-ready solutions with performance, reliability, security, and supportability.

Skills

Python

SQL

AI deployment

LLM platforms

REST APIs

CI/CD

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Databricks

AWS

LangChain

Job description

Job Description - Applied AI/ML Solutions Engineer (MER0004A3T)

Applied AI/ML Solutions Engineer Group : Mercedes-Benz Group AG

Description

About Us

Mercedes-Benz USA is responsible for the sales, marketing and service of all Mercedes-Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values: 'PRIDE = Passion, Respect, Integrity, Discipline, and Execution'. Our products and employees reflect this dedication. We are looking for diverse top-notch individuals to join the Mercedes-Benz Team and uphold these hallmarks.

Job Overview

The Applied ML/AI Solutions Engineer is responsible for designing, building, and
delivering AI-powered solutions that drive measurable business value across Mercedes-
Benz USA. This role develops copilots, intelligent assistants, agent-based solutions,
and AI-enabled business processes that solve real-world business challenges.
The ideal candidate combines strong software engineering expertise, modern AI
development experience, and solution architecture skills to deliver scalable, production-
ready capabilities. This role works closely with data scientists, AI engineers, architects,
and business stakeholders to transform opportunities into operational AI solutions.

Responsibilities

Applied AI Solution Delivery (60%)

• 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.

Solution Architecture & Design (20%)

• 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.

Engineering Excellence & Innovation (10%)

• 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.

Collaboration & Technical Leadership (10%)

• 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.

Technical Skills & Tools

Required

• Strong proficiency in Python and SQL.
• Experience developing and deploying production AI applications.
• Azure Databricks and cloud platforms such as Azure or AWS.
• Enterprise LLM platforms including Azure OpenAI, AWS Bedrock, or equivalent.
• Retrieval Augmented Generation (RAG) architectures and vector databases.
• REST APIs and modern integration practices.
• Software engineering best practices, testing, and CI/CD.
• Solution architecture and enterprise application integration experience.

Preferred

• LangChain, LangGraph, Semantic Kernel, Strands Agent SDK, or similar
  frameworks.
• React, TypeScript, Plotly Dash, Streamlit, or related technologies.
• Salesforce, ServiceNow, SAP, or Microsoft 365 integration experience.
• Agent orchestration frameworks and multi-agent architectures.
• Experience delivering AI use cases at enterprise scale.

Qualifications

Required

• 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.

Preferred Experience

• Master's degree in Computer Science, Engineering, AI/ML, or related field.
• Experience operating in regulated or compliance-sensitive environments.
• Experience scaling platform engineering capabilities supporting machine learning, generative AI, and agent-based systems.

Additional Information

• Position requires regular collaboration with business, technology, and external partner teams across multiple time zones.
• Some travel required for team, partner, and business engagements.
• This role is part of MBUSA's Data Insights & AI organization and contributes to the company's long-term AI strategy and operating model.

EEO Statement

Mercedes-Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

Organization

Mercedes-Benz USA, LLC

Primary Location

United States of America-Georgia-Atlanta

Work Locations

One Mercedes-Benz Drive One Mercedes-Benz Drive Atlanta 30328