2 ai platform engineer jobs found

Why GMF Technology? Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry. Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact. Flexible hybrid work environment (onsite 2 days a week/3 days remote) at our Detroit, MI or Arlington (AOC1), TX office. Please note: We are unable to provide any type of sponsorship for this position currently.  About The Role: The Senior Microsoft 365 Business System Analyst is a senior technical specialist responsible for architecting,...

Departmental Summary: The AI Engineer must have prior hands-on experience designing, building, and deploying Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions within large-scale, big data environments. Proven experience delivering projects using Agile methodologies is a mandatory requirement. Key Responsibilities Design, develop, and implement end-to-end agentic AI systems that integrate:  Large Language Models (LLMs) Multi-agent orchestration frameworks Enterprise-grade data pipelines Business and operational applications Deliver production-grade solutions that meet enterprise standards for reliability, scalability, performance, and maintainability. Departmental Preferences: Hands-on development experience with:  Python, Python FastAPI Framework, Python Django AWS Bedrock AWS Bedrock Agent Core AWS SageMaker Catalog AWS SageMaker AI AWS SageMaker Model Monitor AWS SageMaker Studio Vector Databases (AWS...