3 business architect jobs found in Detroit, MI

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 Application Developer II will support ancillary lines of business Dental, Vision, EOB IT, CDH and Pharmacy, ensuring reliable execution of production processes and day-to-day operational stability. Responsibilities include monitoring and supporting batch and real-time workflows, triaging and resolving defects, and implementing enhancements to core business logic in alignment with evolving business needs and compliance   requirements . The role will participate in initiatives such as claims processing, membership reporting and reconciliation, and benefit updates, emphasizing accuracy, timeliness, data quality, and SLA adherence. This position will also contribute to strategic initiatives across Dental, Vision, and CDH products. As part of ongoing modernization, the analyst will help transition business functionality to distributed platforms and services (e.g., APIs, microservices, data pipelines), including analyzing existing logic and...

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...