| Location | Atlanta, GA |
Aufgaben About UsMercedes-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 OverviewThe Applied MLAI Solutions Engineer is responsible for designing building anddelivering AI-powered solutions that drive measurable business value across Mercedes-Benz USA. This role develops copilots intelligent assistants agent-based solutionsand AI-enabled business processes that solve real-world business challenges.The ideal candidate combines strong software engineering expertise modern AIdevelopment experience and solution architecture skills to deliver scalable production-ready capabilities. This role works closely with data scientists AI engineers architectsand business stakeholders to transform opportunities into operational AI solutions.ResponsibilitiesApplied AI Solution Delivery 60• Design develop and deploy AI-powered applications copilots assistants andagent-based solutions.• Translate business requirements into scalable technical architectures andworking solutions.• Integrate AI capabilities with enterprise applications APIs and operationalsystems.• Deliver production-ready solutions that meet standards for performancereliability security and supportability.• Leverage established AI platform LLMOps and productization frameworks toaccelerate delivery.• Contribute code technical leadership and best practices across the AI solutionportfolio.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 andoperational 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 todrive successful outcomes.• Mentor engineers and share expertise across the organization.• Support knowledge sharing cross-training and team resilience initiatives.Technical Skills & ToolsRequired• 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 CICD.• Solution architecture and enterprise application integration experience.Preferred• LangChain LangGraph Semantic Kernel Strands Agent SDK or similarframeworks.• 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. Qualifikationen QualificationsRequiredBachelors 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 AIML 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 ExperienceMasters degree in Computer Science Engineering AIML or related field.Experience delivering enterprise-scale AIML 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 InformationPosition 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 MBUSAs Data Insights & AI organization and contributes to the companys long-term AI strategy and operating model.EEO StatementMercedes-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.