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AI Architect

Job in Cincinnati, Hamilton County, Ohio, 45201, USA
Listing for: Total Quality Logistics, Inc.
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below
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.

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  Computerworld Best Places to Work in IT

What 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, Lang Chain, Semantic Kernel and MLflow

* Proficiency with Git, Azure Dev Ops 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 outcomes

What 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…
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