AI Architect

Total Quality Logistics LLC

Cincinnati, OH

JOB DETAILS
SKILLS
Accounting, Application Programming Interface (API), Architectural Design, Architectural Services, Artificial Intelligence (AI), Authentication, Automation, Brokerage, Business Skills, Cargo/Freight, Carrier Quality, Cloud Architecture, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cost Control, Customer Support/Service, Data Modeling, Data Science, DevOps, Docker, Ecosystems, Embedded Systems, Enterprise Applications, Enterprise Architecture, Facebook, Financial Planning, Git, Kernel Programming, Leadership, Logistics, Machine Learning, Mentoring, Microservices, Microsoft C# (C Sharp), Microsoft Product Family, Microsoft Windows Azure, Node.js, Performance Analysis, Pricing, Process Improvement, Product Management, Proof of Concept, Python Programming/Scripting Language, REST (Representational State Transfer), Risk, Sales Support, Service Level Agreement (SLA), Software Agents, Software Development, Software Engineering, Systems Administration/Management, Team Player, Technical Leadership, Technical/Engineering Design, Truckload Freight, Tuition Reimbursement, Use Cases, Warehousing, Writing Skills
LOCATION
Cincinnati, OH
POSTED
30+ days ago

AI Architect - United States - 9130 - TQL

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General information

Country

USA

State

Florida

City

Tampa

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 2019-2026 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, 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 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 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 teams

Employment 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.

About Us

Total Quality Logistics (TQL) is one of the largest freight brokerage firms in the nation. TQL connects customers with truckload freight that needs to be moved with quality carriers who have the capacity to move it.

As a company that operates 24/7/365, TQL manages work-life balance with sales support teams that assist with accounting, and after hours calls and specific needs. At TQL, the opportunities are endless which means that there is room for career advancement and the ability to write your own paycheck.

What's your worth? Our open and transparent communication from management creates a successful work environment and custom career path for our employees. TQL is an industry-leader in the logistics industry with unlimited potential. Be a part of something big.

Total Quality Logistics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, genetic information, disability or protected veteran status.

If you are unable to apply online due to a disability, contact recruiting at recruiting@tql.com

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EEO     |     Total Quality Logistics, LLC 2026

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About the Company

T

Total Quality Logistics LLC

Look around. Virtually everything you use, wear, and eat has made its way to you thanks to the transportation industry - and specifically, truckload transportation. TQL provides the expertise, strategy, and solutions to get raw materials and finished products where they need to be 24/7/365.

We are a nationally recognized, proven leader in transportation logistics. We connect consumer product and industrial goods shippers with truck operators who transport their freight to market destinations across North America. Our 2,000-member workforce identifies the right trucks for particular freight loads, negotiates rates, and ensures on-time delivery. Our insistence on honest, straightforward communications minimizes missed shipments, delays, and product shortages on store shelves.

Our Clients
In 2011, we worked with more than 7,000 customers and 50,000 carriers across North America to move more than 500,000 loads. We moved approximately 3,500 different types of commodities including fresh fruits and vegetables, packaged foods and beverages, meat and poultry, machinery and equipment, and much more. We are recognized experts in moving time-sensitive products, temperature controlled shipments, and cross-border moves.
COMPANY SIZE
2,500 to 4,999 employees
INDUSTRY
Travel, Transportation and Tourism
FOUNDED
1997
WEBSITE
http://www.tql.com/