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Executive Ai Architect Jobs (NOW HIRING)

OrangePeople

AI Architect

Los Angeles, CA · On-site

$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 ...

LRS

AI Architect

$85 - $120/hr

This role will collaborate closely with executive leadership, business stakeholders, data ... Architect and oversee the implementation of AI platforms, data pipelines, model deployment ...

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 ...

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 ...

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 ...

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 ...

AlgoLeap

Enterprise AI Architect

Dallas, TX · On-site

$68.25 - $88/hr

Executive & Stakeholder Content Support • Support senior leadership (Amit) in producing content ... Architecture Advisory • Participate in AI strategy and architecture review forums; capture ...

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 ...

ClifyX

Chief AI Architect

Hayward, 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 ...

ClifyX

Chief AI Architect

Santa Clara, 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 ...

ClifyX

Chief AI Architect

Mundelein, IL · 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 ...

ClifyX

Chief AI Architect

Fremont, 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 ...

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 ...

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 ...

Tata Consultancy Service Limited

AI Architect

Houston, TX · On-site

$220K - $240K/yr

... to solution AI Architecture, should independently be able to shape AI Use Cases, PoCs, MVPs ... Generic Managerial Skills, If any • Executive presence with the ability to influence senior ...

New

KLDiscovery

AI Architect

Eden Prairie, MN · On-site

$190K - $230K/yr

Strong communication skills, including explaining AI architecture trade-offs to executive and customer audiences Nice to Have (preferred skills): * Advanced degree (MS or PhD) in Computer Science ...

TrnDigital

Be Seen First

AI Architect

Newton, MA · Remote

$180K - $220K/yr

Architect end-to-end AI solutions spanning RAG pipelines, intelligent document processing ... Prepare and present status reports and executive-level presentations for client and internal ...

KLDiscovery

AI Architect

Mclean, VA · On-site

$190K - $230K/yr

Strong communication skills, including explaining AI architecture trade-offs to executive and customer audiences Nice to Have (preferred skills): * Advanced degree (MS or PhD) in Computer Science ...

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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, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Architect

OrangePeople

Los Angeles, CA • On-site

$68 - $89.50/hr

Other

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description

OrangePeople is looking for an experienced and forward-thinking AI Architect to help customers move from basic AI experimentation to a governed, scalable, and measurable AI engineering capability. This role is ideal for someone who understands enterprise architecture, Generative AI, AI agents, coding assistants, DevOps, governance, platform engineering, and software delivery transformation.
The AI Architect will design AI-powered engineering frameworks, build reusable agent capabilities, automate SDLC workflows, and help organizations adopt AI safely and effectively across engineering, architecture, QA, DevOps, security, product, and leadership teams. This is a vendor-neutral role, requiring broad hands-on experience across multiple AI ecosystems, platforms, model providers, coding assistants, agent frameworks, and enterprise delivery tools.
What you'll do:
  • Design enterprise AI engineering frameworks, reference architectures, operating models, and adoption roadmaps.
  • Define AI-assisted SDLC methodologies covering requirements, planning, architecture, development, testing, code review, documentation, release, and operations.
  • Architect single-agent and multi-agent workflows with clear human-in-the-loop controls, approval gates, auditability, and safeguards.
  • Build reusable AI skills, copilots, plugins, tools, prompts, agents, playbooks, and workflow templates.
  • Integrate AI capabilities with source control, work management, CI/CD, testing, security scanning, documentation, collaboration, and observability tools.
  • Establish governance for AI usage, model selection, prompts, context, data access, privacy, security, logging, monitoring, cost controls, and Responsible AI practices.
  • Define secure AI adoption practices including data classification, least privilege, sandboxing, prompt hygiene, context hygiene, and protection against risks such as hallucination, excessive agency, prompt injection, data leakage, and unsafe tool access.
  • Create AI-enabled automation for backlog analysis, implementation planning, impact assessment, code generation, test creation, review automation, release readiness, documentation updates, and closed-loop remediation.
  • Evaluate AI platforms, coding assistants, model ecosystems, and agent frameworks based on security, privacy, functionality, extensibility, integration, scalability, cost, auditability, and enterprise fit.
  • Lead discovery sessions, pilots, proofs-of-concept, workshops, architecture reviews, enablement programs, and scaled adoption initiatives.
  • Communicate AI strategy, technical decisions, risks, tradeoffs, and business value to engineering teams and executive stakeholders.
What we're looking for:
  • 8 to 10+ years of experience in software engineering, enterprise architecture, solution architecture, platform engineering, DevOps, or technology transformation.
  • 5+ years designing enterprise-scale architecture, engineering platforms, or developer productivity solutions.
  • Hands-on experience with Generative AI, AI engineering, coding assistants, copilots, or agentic AI solutions in enterprise environments.
  • Strong understanding of software architecture, APIs, integrations, cloud platforms, DevOps, DevSecOps, CI/CD, testing, release management, security, and data governance.
  • Experience designing governance frameworks, reference architectures, standards, reusable playbooks, operating models, and technology roadmaps.
  • Ability to work across different customer environments without forcing a single vendor, platform, or toolset.
  • Strong communication skills with the ability to explain complex AI and architecture concepts to both technical and executive audiences.
Platform experience we value:
  • Candidates should bring practical exposure to multiple categories such as:
    • Conversational and Enterprise AI: Microsoft Copilot, ChatGPT Enterprise, Claude, Gemini, Amazon Q, Perplexity Enterprise, or similar platforms.
    • AI Coding Assistants: GitHub Copilot, Claude Code, Cursor, OpenAI Codex, Amazon Q Developer, Gemini Code Assist, Sourcegraph Cody, or comparable tools.
    • Agentic AI and Orchestration: Copilot Studio, Semantic Kernel, LangChain, LangGraph, CrewAI, AutoGen, OpenAI agent frameworks, Claude agent capabilities, or similar technologies.
    • Model and Cloud Ecosystems: Azure AI, AWS Bedrock, Google Vertex AI, OpenAI APIs, Anthropic APIs, Hugging Face, Cohere, or similar ecosystems.
    • Delivery Platforms: Azure DevOps, GitHub, GitLab, Jira, ServiceNow DevOps, Jenkins, Harness, CircleCI, or similar software delivery platforms.
Preferred Experience:
  • Designing AI-assisted software engineering frameworks or AI Centers of Excellence.
  • Building custom skills, agents, plugins, copilots, extensions, commands, or AI-powered workflow automations.
  • Creating agent-based workflows that connect with repositories, work management systems, CI/CD pipelines, documentation platforms, and enterprise knowledge sources.
  • Automating SDLC processes across planning, development, testing, review, deployment, operations, and documentation.
  • Developing context engineering, retrieval, grounding, repository intelligence, and knowledge architecture strategies.
  • Designing multi-agent systems, closed-loop remediation workflows, and human approval checkpoints.
  • Leading AI adoption, developer productivity, platform modernization, DevSecOps, or engineering transformation initiatives.
  • Measuring adoption, engineering productivity, software quality, risk reduction, cycle time improvement, and developer experience.
Success in this role looks like:
  • Customers have a practical, governed, and vendor-neutral AI engineering framework.
  • Engineering teams are using AI-assisted SDLC workflows safely and consistently.
  • Reusable AI agents, skills, prompts, playbooks, and automation frameworks are adopted across teams.
  • Delivery cycle time, software quality, documentation accuracy, test effectiveness, and developer productivity improve measurably.
  • AI governance, security, privacy, compliance, auditability, and human oversight are embedded into the operating model.
  • Teams are trained, enabled, and confident in using AI responsibly across the software delivery lifecycle.
Benefits:
  • 401(k).
  • Dental Insurance.
  • Health insurance.
  • Vision insurance.
  • We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
  • The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.

Additional Responsibilities:
  • Participate in OP monthly team meetings and participate in team-building efforts.
  • Contribute to OP technical discussions, peer reviews, etc.
  • Contribute content and collaborate via the OP-Wiki/Knowledge Base.
  • Provide status reports to OP Account Management as requested.
Why Join OrangePeople?
At OrangePeople, you will help shape the next generation of enterprise AI adoption. This role allows you to work at the intersection of AI strategy, enterprise architecture, software engineering, automation, governance, and transformation. You will help customers move beyond isolated AI tools and build repeatable, secure, scalable, and business-aligned AI engineering capabilities. If you are passionate about Generative AI, agentic workflows, developer productivity, governance, and the future of software engineering, we would love to connect with you.

Apply