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Ai Curriculum Developer Jobs in Texas (NOW HIRING)

iFLOW

Req:: AI Enablement Lead _ Plano, TX

Plano, TX · On-site

Build developer-focused curriculum, workshops, labs, demos, facilitator guides, job aids, and reusable learning assets. Teach practical use of AI across the software development lifecycle, including ...

Intuit

Staff, AI & Technology Enablement Manager

Frisco, TX · On-site

$188K - $255K/yr

Build and run an org-wide AI enablement program - partnering with content, curriculum, and delivery ... Direct production experience with large language model APIs - prompt engineering, knowledge base ...

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Ai Curriculum Developer information

What is an AI Curriculum Developer?

An AI Curriculum Developer is a professional who designs, develops, and updates educational materials and programs focused on artificial intelligence (AI). They create lesson plans, course modules, and instructional content for students, educators, or professionals learning about AI concepts, tools, and applications. Their work often involves collaborating with subject matter experts, integrating the latest advancements in AI, and ensuring that the curriculum meets educational standards and learner needs. AI Curriculum Developers may work in schools, universities, edtech companies, or corporate training environments.

What is the difference between Ai Curriculum Developer vs Data Scientist?

AspectAi Curriculum DeveloperData Scientist
Required CredentialsBachelor's in Education, Computer Science, or related fields; certifications in AI or machine learningBachelor's or higher in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentEducational institutions, e-learning platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsagePrimarily in education, edtech, corporate trainingAcross industries like tech, finance, healthcare, research

While both roles involve AI and data concepts, an Ai Curriculum Developer focuses on designing educational content and training programs for AI topics, whereas a Data Scientist analyzes data to derive insights and build models. The former is more education-oriented, and the latter is data analysis-focused, though both require knowledge of AI and machine learning.

How does an AI Curriculum Developer typically collaborate with subject matter experts and educators during the course design process?

AI Curriculum Developers work closely with subject matter experts (SMEs) and educators to ensure that course materials are both accurate and pedagogically effective. This collaboration often involves regular meetings to align on learning objectives, reviewing technical content for clarity, and adapting complex AI concepts into accessible lessons. Developers also gather feedback from instructors to refine curriculum components and ensure that materials meet the needs of diverse learners. This teamwork is essential for creating engaging, up-to-date, and practical AI educational resources.

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

To thrive as an AI Curriculum Developer, you need expertise in artificial intelligence concepts, instructional design, and educational technology, often supported by a degree in computer science, education, or a related field. Familiarity with learning management systems (LMS), programming languages like Python, and tools for creating digital content such as Adobe Captivate or Articulate 360 is essential. Strong communication, creativity, and collaboration skills help in designing engaging, accessible materials and working with subject matter experts or educators. These skills ensure the development of effective, up-to-date curricula that meet learner needs and industry standards in a rapidly evolving field.
What are popular job titles related to Ai Curriculum Developer jobs in Texas? For Ai Curriculum Developer jobs in Texas, the most frequently searched job titles are:
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What cities in Texas are hiring for Ai Curriculum Developer jobs? Cities in Texas with the most Ai Curriculum Developer job openings:
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Infographic showing various Ai Curriculum Developer job openings in Texas as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Req:: AI Enablement Lead _ Plano, TX

iFLOW

Plano, TX • On-site

Other

Posted 5 days ago

Job description

Job Title: Developer/Trainer - AI Enablement Lead
Location: Plano, TX Hybrid
Duration: Longterm
Experience:7-15 Years

Description
Position Summary:
We are seeking a highly motivated and experienced Developer AI Enablement Lead with 5 years of experience to join our dynamic Business Support team. The ideal candidate with a strong background in software engineering, solution architecture, DevOps, developer enablement, or technical training, who has hands-on experience using AI tools in software development workflows. The ideal candidate combines technical credibility with excellent communication, facilitation, and learning design skills, and can effectively engage engineers, architects, product teams, and technology leaders to drive enterprise AI adoption.
The successful candidate will be responsible for designing and delivering hands-on AI training programs, workshops, labs, demos, and enablement materials for technical teams; promoting responsible and effective use of AI across the software development lifecycle; creating reusable learning assets and technical playbooks; facilitating technical events and hackathons; collaborating with cross-functional stakeholders; and helping engineering teams adopt AI tools and practices in a practical, secure, and measurable way.
Essential Functions:
Design and deliver hands-on AI training for software engineers, developers, architects, technical product teams, and related technology audiences.
Build developer-focused curriculum, workshops, labs, demos, facilitator guides, job aids, and reusable learning assets.
Teach practical use of AI across the software development lifecycle, including requirements analysis, code generation, debugging, refactoring, documentation, test creation, code review, release support, and technical problem solving.
Create technical examples that are realistic, credible, and useful for engineering teams.
Facilitate live technical workshops, virtual sessions, bootcamps, lunch-and-learns, hackathon-style events, and internal enablement sessions.
Partner with engineering, architecture, cybersecurity, data, cloud, product, and responsible AI stakeholders to ensure training reflects approved tools, standards, and enterprise expectations.
Help teams understand when AI is useful, when it is risky, and when human review is required.
Support the development of prompt libraries, technical playbooks, lab exercises, reference examples, and reusable patterns for technical users.
Translate complex AI concepts into practical guidance for technical audiences without oversimplifying important risks or limitations.
Gather learner feedback, technical questions, use cases, and adoption barriers to improve future enablement.
Help identify common engineering use cases that may require additional documentation, governance review, technical support, or escalation.
Stay current on emerging AI development tools, coding assistants, agentic workflows, model capabilities, and enterprise AI practices.
Advise on smart implementation that aligns the right models to the right job and reflects in transparent token consumption and cost management
Requirements

Minimum qualification:
Required Education & Experience:
Bachelor's degree or equivalent experience
5 years of Experience in software engineering, solution architecture, DevOps, platform engineering, technical product delivery, developer relations, or technical enablement.
Hands-on experience using AI tools in technical workflows, such as AI-assisted coding, debugging, documentation, testing, research, or automation.
Ability to design and facilitate technical training for engineering audiences.
Strong understanding of software development lifecycle practices, including requirements, development, testing, code review, deployment, documentation, and operational support.
Ability to explain technical concepts clearly to mixed audiences, including engineers, managers, and non-technical stakeholders.
Strong communication, facilitation, and presentation skills.
Comfort running live demos and adapting when tools, environments, or participant questions do not go as planned.
Ability to build practical exercises, examples, and learning assets that participants can apply immediately.
Awareness of responsible AI, security, privacy, intellectual property, and human-in-the-loop review considerations.
Strong collaboration skills in a large enterprise environment.
Preferred Qualifications
Experience with AI coding assistants such as GitHub Copilot Coding Assistant, OpenAI Codex, Claude Code, AWS Kiro, or similar tools.
Experience with prompt engineering for technical workflows.
Familiarity with RAG, agents, LLM evaluation, orchestration patterns, APIs, cloud platforms, or enterprise AI architectures.
Experience creating technical labs, sample repositories, code walkthroughs, enablement guides, or developer documentation.
Experience supporting hackathons, developer communities, technical bootcamps, or internal technology events.
Experience with secure coding, application security, cloud security, DevSecOps, or governance-heavy enterprise environments.
Experience working with product teams, agile delivery teams, engineering leaders, or architecture review groups.
Prior experience in developer advocacy, technical training, technical program management, or engineering enablement.

What Success Looks Like
Success in this role means technical teams are not just aware of AI tools - they are using them more effectively, responsibly, and consistently.
The role will help drive:
Increased confidence and adoption of approved AI tools among technical teams.
Higher-quality developer enablement materials, labs, and technical examples.
More practical, hands-on learning experiences for engineers.
Reusable technical playbooks and prompt patterns.
Better understanding of where AI fits into engineering workflows.
Clearer guidance on responsible and secure AI-assisted development.
More consistent capture of technical use cases, questions, and adoption barriers.
Stronger alignment between AI enablement, engineering practices, and enterprise technology standards.

Ideal Candidate Profile
You may be a strong fit if you are the kind of person who can:
Sit with software engineers and earn credibility quickly.
Explain AI without hype.
Teach through demos, examples, and hands-on practice rather than long slide decks.
Build content from scratch when the topic is new or still evolving.
Turn complex technical topics into clear learning paths.
Facilitate skeptical or advanced technical audiences.
Balance innovation with enterprise guardrails.
Help teams move from curiosity to practical adoption.
Position Type/Expected Hours of Work:
Contract
Hybrid (4 days a week) in Plano, TX
Standard business hours
Limited travel expected

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