2 solutions architect jobs found in Detroit, MI

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...

Job Responsibilities Manage the full systems development life cycle (SDLC) for workload automation scheduling tools, including CA‑7 and supporting products such as CA Datacom, CA‑11, and the CA‑7 Web Client. Lead the design, configuration, installation, and ongoing maintenance of all scheduling and related support products. Administer users, groups, security protocols, and system policies associated with CA‑7 and CA‑11 environments. Perform installation, renewal, and maintenance of digital certificates to support secure system access and file transfer operations. Support secure file transfer processes, ensuring proper use of SFTP, Connect Direct Secure+, and other secure data‑movement methods. Provide administration and support for mainframe-related third‑party software. Knowledge & Skill Requirements Prior mainframe batch programming experience, including installation and administration of third‑party mainframe software. Strong working knowledge of CA‑7, CA‑11,...