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Executive Ai Architect Jobs (NOW HIRING)

Total Quality Logistics

AI Architect

Tampa, FL · On-site

High visibility partnership with executive leadership * Long-term career growth in a collaborative ... Azure certifications (Solutions Architect, Azure AI Engineer) preferred * 7-12+ years of experience ...

Total Quality Logistics

AI Architect

Charlotte, NC · On-site

High visibility partnership with executive leadership * Long-term career growth in a collaborative ... Azure certifications (Solutions Architect, Azure AI Engineer) preferred * 7-12+ years of experience ...

Brooksource

AI Architect

Birmingham, AL · On-site

$80 - $92/hr

Partner with executive leadership, business stakeholders, and technical teams to identify high-value AI opportunities * Advise on AI architecture, governance, security, compliance, and implementation ...

New

Inficare Technologies

AI Architect

San Diego, CA · On-site

$67 - $88/hr

Serve as a trusted advisor to executive leadership on AI strategy and emerging technologies * Mentor architects, engineers, and data science teams Required Skills * Foundation Models: Anthropic ...

TQL

AI Architect

Cincinnati, OH · On-site

$60.50 - $79.50/hr

High visibility partnership with executive leadership* Long‑term career growth in a collaborative ... Azure certifications (Solutions Architect, Azure AI Engineer) preferred* 7-12+ years of experience ...

Total Quality Logistics

AI Architect

Cincinnati, OH · On-site

High visibility partnership with executive leadership * Long-term career growth in a collaborative ... Azure certifications (Solutions Architect, Azure AI Engineer) preferred * 7-12+ years of experience ...

TQL

AI Architect

Tampa, FL · On-site

$59.50 - $78.50/hr

High visibility partnership with executive leadership* Long‑term career growth in a collaborative ... Azure certifications (Solutions Architect, Azure AI Engineer) preferred* 7-12+ years of experience ...

TQL

AI Architect

Charlotte, NC · On-site

$59 - $77.75/hr

High visibility partnership with executive leadership* Long‑term career growth in a collaborative ... Azure certifications (Solutions Architect, Azure AI Engineer) preferred* 7-12+ years of experience ...

OrangePeople

AI Architect

Los Angeles, CA · On-site +1

$68 - $89.50/hr

The AI Architect will design AI-powered engineering frameworks, build reusable agent capabilities ... executive stakeholders. What we're looking for: * 8 to 10+ years of experience in software ...

New

Cyclotron, Inc.

AI Architect

Chicago, IL · On-site +1

$140K - $180K/yr

AI Engineering Location: Remote (US or Canada) Rate: $140,000-$225,000 USD (rates vary in Canada ... the full executive conversation alongside senior architects. Our practice is anchored in the ...

ClifyX

Chief AI Architect

San Jose, CA · On-site

AI strategy discussions Innovation workshops Executive demos Translate AI capabilities into ... AI/ML architecture, data platforms, or advanced engineering roles Deep expertise in: GenAI (LLMs ...

New

ClifyX

Chief AI Architect

Santa Rosa, CA · On-site

AI strategy discussions Innovation workshops Executive demos Translate AI capabilities into ... AI/ML architecture, data platforms, or advanced engineering roles Deep expertise in: GenAI (LLMs ...

New

ClifyX

Chief AI Architect

Sunnyvale, CA · On-site

AI strategy discussions Innovation workshops Executive demos Translate AI capabilities into ... AI/ML architecture, data platforms, or advanced engineering roles Deep expertise in: GenAI (LLMs ...

New

ClifyX

Chief AI Architect

Sonoma, CA · On-site

AI strategy discussions Innovation workshops Executive demos Translate AI capabilities into ... AI/ML architecture, data platforms, or advanced engineering roles Deep expertise in: GenAI (LLMs ...

New

ClifyX

Chief AI Architect

San Mateo, CA · On-site

AI strategy discussions Innovation workshops Executive demos Translate AI capabilities into ... AI/ML architecture, data platforms, or advanced engineering roles Deep expertise in: GenAI (LLMs ...

New

ClifyX

Chief AI Architect

San Francisco, CA · On-site

AI strategy discussions Innovation workshops Executive demos Translate AI capabilities into ... AI/ML architecture, data platforms, or advanced engineering roles Deep expertise in: GenAI (LLMs ...

New

ClifyX

Chief AI Architect

Alameda, CA · On-site

AI strategy discussions Innovation workshops Executive demos Translate AI capabilities into ... AI/ML architecture, data platforms, or advanced engineering roles Deep expertise in: GenAI (LLMs ...

New

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Executive Ai Architect information

What is an Executive AI Architect?

Executive AI Architects are senior professionals responsible for overseeing the design, development, and implementation of artificial intelligence solutions within an organization. They bridge the gap between business strategy and technical execution, ensuring AI initiatives align with company goals. Their role often involves leading teams, establishing best practices, evaluating emerging technologies, and communicating AI strategies to stakeholders. Executive AI Architects work closely with C-suite executives to drive innovation and maintain a competitive edge through the strategic use of AI.

How does an Executive AI Architect typically collaborate with cross-functional teams to deliver AI solutions?

As an Executive AI Architect, collaboration with cross-functional teams is essential for aligning AI initiatives with business objectives. You will frequently work alongside data scientists, software engineers, business stakeholders, and IT leaders to ensure that technical strategies support organizational goals. This role often involves translating complex AI concepts into actionable plans, facilitating communication between technical and non-technical team members, and overseeing solution design from prototype to deployment. Strong leadership and communication skills are critical, as you’ll be responsible for guiding teams through challenges and ensuring cohesive project execution.

What are the key skills and qualifications needed to thrive as an Executive AI Architect, and why are they important?

To thrive as an Executive AI Architect, you need deep expertise in artificial intelligence, machine learning, and enterprise architecture, often supported by advanced degrees in computer science or related fields. Familiarity with AI frameworks (such as TensorFlow and PyTorch), cloud platforms (like AWS, Azure, or Google Cloud), and relevant certifications (e.g., AWS Certified Machine Learning) is typically required. Strategic vision, leadership, and strong communication skills are essential for aligning AI initiatives with business goals and leading cross-functional teams. These competencies are crucial for designing scalable AI solutions that drive organizational innovation and competitive advantage.

What is the difference between Executive Ai Architect vs Data Scientist?

AspectExecutive Ai ArchitectData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; certifications in AI/MLDegree in Data Science, Statistics, or related fields; certifications in data analysis and ML
Work EnvironmentStrategic leadership, cross-department collaboration, high-level project oversightData analysis, model development, data visualization, hands-on coding
Employer & Industry UsageTech companies, AI-focused firms, large enterprises integrating AI strategiesResearch institutions, tech companies, analytics firms, industries relying on data insights

The Executive Ai Architect focuses on high-level AI strategy, architecture design, and leadership, often working with executive teams. In contrast, Data Scientists primarily analyze data, develop models, and implement machine learning solutions. While both roles require strong technical skills and knowledge of AI/ML, the Executive Ai Architect emphasizes strategic planning and architecture, whereas Data Scientists focus on data analysis and model development.

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Executive Ai Architect jobs near you
Infographic showing various Executive Ai Architect job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

AI Architect

Total Quality Logistics

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago

Total Quality Logistics rating

6.0

Company rating: 6.0 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

327th of 366 rated logistics

Job description

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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