Applied AI/ML Solutions Engineer

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 delivering enterprise-scale AI/ML platforms supporting multiple business domains.
• 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.