Junior Node Js Backend Jobs in Ohio (NOW HIRING)

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.You will partner closely with Engineering, Product Management, Data and Operations leadership to identify high-impact use cases and deliver AI capabilities that drive measurable improvements across pricing, capacity matching, customer service, claims, risk and operator productivity.What’s in it for you: * Competitive compensation* Opportunity to influence enterprise‑wide AI architecture* High visibility partnership with executive leadership* Long‑term career growth in a collaborative, AI‑driven organization* Comprehensive benefits package* Health, dental and vision coverage* 401(k) with company match* Perks including employee discounts, financial wellness planning, tuition reimbursement and more* Certified Great Place to Work and voted a 2019-2026 Computerworld Best Places to Work in ITWhat we’re looking for:* Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, AI/ML or a related field* Azure certifications (Solutions Architect, Azure AI Engineer) preferred* 7-12+ years of experience in AI/ML engineering, cloud architecture or enterprise software engineering* Proven experience architecting and delivering production AI or ML solutions on Azure* Experience with REST APIs, serverless functions, microservices and event-driven architectures* Backend development in Python with working knowledge of C# or Node.js.* Hands-on experience with Azure OpenAI, Azure Machine Learning, Azure AI Search, Microsoft Fabric and Lakehouse architectures* Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow* Proficiency with Git, Azure DevOps CI/CD, Docker and Kubernetes* Strong understanding of data modeling, governance, lineage and security* Strong communication skills across technical and non-technical audiences* Ability to translate business workflows into scalable technical architectures* Strong ownership mindset with focus on reliability, cost optimization and long-term scalability* Product mindset with ability to align AI architecture to business outcomesWhat you’ll be doing:* AI Strategy & Enterprise Architecture* Evaluate and recommend AI models, APIs and platforms (e.g., Anthropic, OpenAI, Microsoft, Google) based on security, reliability, cost and enterprise fit* Define the enterprise AI architecture across Azure OpenAI, Azure AI Search, Microsoft Fabric, Azure ML, APIs, event-driven systems and operator-facing tools* Establish standards for building LLM applications, retrieval-augmented generation (RAG) systems, intelligent agents and ML models at scale* Create reference architectures for AI-powered solutions including real-time workflows, automation, copilots and knowledge assistants* Application Architecture & Integration* Design how AI services integrate with core applications, including broker tools, APIs, workflows and backend services* Establish patterns for serverless functions, microservices, REST APIs, event-driven pipelines and end-to-end orchestration* Partner with application development teams to embed AI into product features with the right performance, security, authentication and data flow patterns* Ensure AI solutions meet enterprise CI/CD, observability, reliability and SLA standards* Solution Design & Technical Leadership* Lead solution designs for AI platforms including vector databases, embedding pipelines, inference services, feature stores and model registries* Translate complex operator workflows into scalable, AI-enabled architectures that improve decision-making and productivity* Conduct architecture, design reviews and mentor AI Engineers, Software Engineers, Data Engineers and Data Scientists* Data & Integration Architecture* Partner with Data Engineering to ensure Fabric Lakehouse, Delta tables, warehouse layers and streaming systems support both training and inference workloads* Architect and optimize RAG pipelines using Azure AI Search, vector indexing, embeddings and metadata strategies* MLOps, Governance & Operational Readiness* Define and implement enterprise MLOps standards for model lifecycle management, versioning, monitoring and retraining* Apply Responsible AI practices including content filtering, privacy, compliance and hallucination mitigation* Ensure AI systems are observable with performance and cost monitoring* Innovation & Continuous Improvement* Evaluate emerging AI models, agent frameworks and Azure capabilities for use in logistics workflows* Lead proofs of concept (PoCs) and accelerate adoption of high-value AI initiatives* Develop reusable technical playbooks and architectural patterns to mature AI across engineering teamsWhere you’ll be: 4289 Ivy Pointe Blvd Cincinnati, OH 45245Employment visa sponsorship is unavailable for this position. Applicants requiring employment visa sponsorship now or in the future (e.g., F-1 STEM OPT, H-1B, TN, J1 etc.) will not be considered.