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Learning Development Enablement Jobs in Dallas, TX

Developer/Trainer - AI Enablement Lead Location: Plano, TX Hybrid Duration: Longterm Experience:7 ... software development lifecycle; creating reusable learning assets and technical playbooks ...

Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My ...

Reinforce learning through follow-up resources, session recordings, and self-service content ... Help with the ongoing development of role-specific training paths tailored to operators, managers ...

You will contribute to the ongoing development and effectiveness of the sales team's learning and enablement initiatives. What You'll Do * Tool Maintenance: Help manage tools like CRM, enablement ...

You will contribute to the ongoing development and effectiveness of the sales team's learning and enablement initiatives. What You'll Do * Tool Maintenance: Help manage tools like CRM, enablement ...

DuraServ is looking for a Sales Enablement Specialist who builds the training infrastructure ... Proficiency in instructional design -- eLearning development, job aids, quick reference guides, and ...

Background in learning & development or organizational enablement. * Experience supporting contact centers or frontline operations. * Experience creating operational communication plans. * Experience ...

Qualifications * 10 or more years of experience in enterprise change management, digital adoption, workforce enablement, learning and development, collaboration technology, transformation ...

Showing results 41-60

Learning Development Enablement information

See Dallas, TX salary details

$50.5K

$98.6K

$133.1K

How much do learning development enablement jobs pay per year?

As of Sep 7, 2026, the average yearly pay for learning development enablement in Dallas, TX is $98,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $114,300.00 per year, depending on experience, location, and employer.

What is learning development enablement?

Learning Development Enablement refers to the strategies, tools, and processes that support and enhance employee learning and professional growth within an organization. It involves designing, delivering, and evaluating training programs, as well as providing resources and technologies that empower employees to develop new skills. The goal is to create a culture of continuous learning and improvement that aligns with business objectives. Professionals in this field often collaborate with leadership and subject matter experts to ensure learning initiatives address organizational needs.

How does a learning development enablement professional typically collaborate with subject matter experts and stakeholders to create effective training programs?

Learning Development Enablement professionals work closely with subject matter experts (SMEs) and stakeholders by facilitating meetings, gathering insights on learning objectives, and ensuring content accuracy and relevance. They often act as a bridge between instructional designers, trainers, and business leaders to align training initiatives with organizational goals. Regular collaboration includes feedback sessions, pilot testing of materials, and iterative updates based on stakeholder input. This cross-functional teamwork helps ensure that training programs are engaging, current, and tailored to the needs of both learners and the business.

What are the key skills and qualifications needed to thrive in learning development enablement, and why are they important?

Success in Learning Development Enablement requires expertise in instructional design, adult learning principles, and program management, usually supported by a degree in education or HR and experience in training roles. Familiarity with Learning Management Systems (LMS), e-learning authoring tools like Articulate or Captivate, and certifications such as CPLP or ATD are highly valued. Outstanding communication, collaboration, and adaptability distinguish top performers in this field. These competencies are essential for creating effective learning experiences that drive employee growth and organizational success.

What is the difference between Learning Development Enablement vs Learning and Development Specialist?

AspectLearning Development EnablementLearning and Development Specialist
CredentialsTypically requires certifications in instructional design, e-learning, or training facilitationOften holds certifications in training, HR, or instructional design
Work EnvironmentSupports organizational training programs, often collaborating with multiple departmentsDesigns and delivers training sessions directly to employees or clients
Employer & Industry UsageCommon in corporate, tech, and consulting firms focusing on enabling learning infrastructureFound across various industries, focusing on employee development and training delivery

Learning Development Enablement focuses on creating systems, tools, and support to facilitate learning across an organization, while Learning and Development Specialists primarily design and deliver training programs directly to employees. Both roles require similar certifications and work in corporate environments, but their core functions differ in scope and focus.

What cities near Dallas, TX are hiring for Learning Development Enablement jobs?

Cities near Dallas, TX with the most Learning Development Enablement job openings:

Req:: AI Enablement Lead _ Plano, TX

iFLOW

Plano, TX • On-site

Other

Re-posted 3 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