AI Solution Architect

AI SolutionArchitect Location- Cincinnati OH (Onsite) Key Responsibilities Brownfield Development: Modernize legacy applications by embedding AI/ML capabilities while maintaining backward compatibility.Cloud Architecture: Design and deploy scalable AI solutions leveraging Azure Cognitive Services, Google Cloud Platform Vertex AI, and containerized microservices.Java Tech Stack: Architect AI modules within Java/Spring Boot applications, ensuring performance and maintainability.Data Engineering: B

General information Country USA State Ohio City Cincinnati Descriptions & requirements About the role: As an AI Architect at TQL, you will define and lead the enterprise-wide AI architecture that powers next-generation intelligence and automation across our logistics and freight brokerage ecosystem. This role is responsible for setting how AI systems are designed, built, governed and scaled - ensuring solutions are secure, reliable, cost-efficient and deeply embedded into business workflows. Y

Senior GenAI Developer (Java, Spring Boot & Azure AI) Job Summary We are seeking a highly skilled GenAI Application Developer with strong expertise in Java, Spring Boot, Microservices, APIs, and cloud-native application development. The ideal candidate should have hands-on experience building Generative AI-powered applications using Azure OpenAI Services and the Azure Cloud ecosystem. The role involves designing, developing, and deploying enterprise-grade AI applications leveraging Large Langua

AI Solution ArchitectIntroduction:The AI Solution Architect will be responsible for designing end-to-end AI and ML architectures, selecting appropriate AI/ML techniques based on business requirements, defining reference architectures, and ensuring scalability, resilience, performance, and cost optimization. Additionally, they will collaborate with data engineers on data pipelines, feature stores, and data governance, implement MLOps and LLMOps practices, integrate AI solutions with enterprise sy