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Executive Ai Architect Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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AI Architect

Cincinnati, OH

$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 ...

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 ...

AI Architect

Tampa, FL

$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 ...

AI Architect

Charlotte, NC

$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 ...

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 ...

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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 ...

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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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 ...

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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.

More about Executive Ai Architect jobs

What cities are hiring for Executive Ai Architect jobs?

Cities with the most Executive Ai Architect job openings:

What are the most commonly searched types of Ai Architect jobs?

The most popular types of Ai Architect jobs are:

What states have the most Executive Ai Architect jobs?

States with the most job openings for Executive Ai Architect jobs include:

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.

$67 - $88/hr

Full-time

Posted 8 days ago


Job description

Job Title: AI Architect
Location: San Diego, CA (Onsite - Local Candidates Preferred)
Job Type: Full Time
Experience: 10+ years in software engineering, cloud, or enterprise architecture; 5+ years in AI/ML; 3+ years with Generative AI and LLMs
Job Overview
Key Responsibilities
  • Define and implement enterprise AI architecture frameworks, standards, and best practices
  • Design end-to-end GenAI solutions leveraging Claude, Gemini, OpenAI, and other foundation models
  • Architect RAG, agentic AI, multi-agent systems, vector databases, and knowledge management solutions
  • Architect AI solutions across Azure and AWS environments
  • Define AI governance, security, compliance, and risk management frameworks
  • 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 Claude, Google Gemini, OpenAI, multi-model orchestration
  • GenAI Techniques: Prompt engineering, fine-tuning, RAG, AI agents, agentic workflows
  • Vector Databases: Pinecone, Weaviate, Milvus, Chroma, Azure AI Search
  • Frameworks: LangChain, LangGraph, LlamaIndex
  • Azure: Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, AKS, Azure Data Services, Azure Security
  • AWS: Amazon Bedrock, Amazon SageMaker, AWS Lambda, ECS/EKS, AWS Data and Analytics, AWS Security and Governance
  • Programming: Python, SQL, REST APIs, Microservices Architecture, CI/CD, DevOps
  • Ops: MLOps, LLMOps, model monitoring and evaluation
Preferred Skills
  • Experience in regulated industries: healthcare, financial services, defense, or technology
  • Enterprise AI governance and Responsible AI frameworks
  • Integration of AI solutions with ERP, CRM, and enterprise systems
  • Master's degree in Computer Science, AI, Data Science, or related field
Preferred Certifications
  • Microsoft Certified: Azure Solutions Architect Expert or Azure AI Engineer Associate
  • AWS Certified Solutions Architect Professional or Machine Learning Specialty
  • Google Professional Cloud Architect or Professional Machine Learning Engineer
Location & Work Model
Onsite - San Diego, CA. Local candidates strongly preferred.
Engagement Details
Full-Time permanent position with a leading technology organization.