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Learning Technology Architect Jobs (NOW HIRING)

IQT

Technology Architect - AI

Mclean, VA · On-site

$138K - $180K/yr

The Technology Architect team is responsible for identifying and executing investments in technology areas including (but not limited to) artificial intelligence, machine learning, enterprise search ...

campus4tech

GDOT IT Architect

Atlanta, GA · On-site

GDOT IT Architect Duration: 5 Months+ Extension-Hybrid Location: Atlanta, GA 30308 Shift: 8am to ... Continuous Learning: Staying updated with new technologies and methodologies is key to success.

Williams Companies

IT Architect IV - SCADA

Houston, TX · Hybrid

The IT Architect IV (SCADA) is responsible for designing the structure of specific IT systems and ... Develops and maintains SCADA architectures, integrating emerging technologies like Machine Learning ...

Williams Companies

IT Architect IV - SCADA

Tulsa, OK · Hybrid

The IT Architect IV (SCADA) is responsible for designing the structure of specific IT systems and ... Develops and maintains SCADA architectures, integrating emerging technologies like Machine Learning ...

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Learning Technology Architect information

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How much do learning technology architect jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for learning technology architect in the United States is $72.49, according to ZipRecruiter salary data. Most workers in this role earn between $64.66 and $77.40 per hour, depending on experience, location, and employer.

What is a Learning Technology Architect?

A Learning Technology Architect is a professional who designs, implements, and manages the technological infrastructure for educational environments. They evaluate and integrate various learning platforms, tools, and systems to support effective teaching and learning experiences. Their role often involves collaborating with educators, IT staff, and administrators to ensure that technology solutions align with educational goals and are scalable, secure, and user-friendly. Learning Technology Architects also stay updated on emerging technologies to help institutions adapt to changes in digital learning.

How does a Learning Technology Architect typically collaborate with instructional designers and IT teams?

A Learning Technology Architect works closely with instructional designers to ensure that educational content is effectively integrated with the chosen learning platforms and technologies. They also collaborate with IT teams to address system compatibility, security, and scalability requirements, ensuring smooth deployment and maintenance of learning solutions. This role often bridges the gap between pedagogical goals and technical implementation, requiring strong communication and project management skills to align all stakeholders and deliver successful learning experiences.

What are the key skills and qualifications needed to thrive as a Learning Technology Architect, and why are they important?

A Learning Technology Architect needs expertise in instructional design, e-learning development, and a solid background in computer science or educational technology. Familiarity with learning management systems (LMS), authoring tools such as Articulate or Adobe Captivate, and certifications like ATD or CompTIA are highly valued. Strong project management, creative problem-solving, and effective communication skills set top performers apart in this role. These competencies are essential for designing scalable, innovative digital learning solutions that meet organizational and learner needs.

Who are the top companies hiring for Learning Technology Architect jobs?

The top employers for Learning Technology Architect jobs are:

What are popular job titles related to Learning Technology Architect jobs?

For Learning Technology Architect jobs, the most frequently searched job titles are:

Infographic showing various Learning Technology Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $150,778 per year, or $72.5 per hour.

Technology Architect - AI

Mclean, VA • On-site

IQT
See more jobs at IQTexternal

$138K - $180K/yr

Full-time

Re-posted 8 days ago

Job description

Compensation
$138,369 - $180,034 + bonus eligible. Offers will be commensurate with level of experience.
Job Locations
US-VA-McLean
Location Classification
Hybrid - In Office & Teleworking
Overview
This position will work closely with IQT's government partners to understand their technology challenges and use their mastery of technology to investigate and recommend potential solutions from the venture-backed startup ecosystem, for both immediate mission needs and long term readiness. The Technology Architect team is responsible for identifying and executing investments in technology areas including (but not limited to) artificial intelligence, machine learning, enterprise search, AI automation, custom Large Language Models (LLMs), physical AI, and the security of AI systems. This position will guide the technical aspects of an investment to ensure that IQT delivers effective and compelling solutions to our Intelligence Community/Department of Defense government partners.
Responsibilities
  • Identifies new AI/ML technology areas for investment and provides technical diligence on multiple complementary investments in that technology area.
  • Develop and negotiation of Statements of Work contracts between IQT and start-up companies.
  • Provides thought leadership in one or more areas of AI/ML subject matter expertise.
  • Leverages technical/market experience and understanding of government partner use cases to identify new topics for, and oversee development of, technical engagement strategies across short- and long-term development horizons.
  • Provide technical oversight on work programs; perform assessments of work program deliverables. Identifies and communicates paths for resolution of issues on work programs to key stakeholders and IQT Leadership.
  • Oversee development of technology architectures and solutions to address AI-related problems faced by IQT's government partners.
  • Coordinates with customers on AI technology adoption strategy in development of multiple work programs in a government partner mission area.

Qualifications
Minimal Qualifications
  • Due to contractual reasons, U.S. Citizenship is required.
  • Candidates with active top-secret clearance preferred; at a minimum, candidate must meet eligibility requirements for access to classified information.
  • Advanced degree in a science or engineering discipline (or equivalent experience) preferred.
  • Minimum 5 years professional experience with some portion of that time overseeing a technology development effort in a business and/or intelligence environment.
  • Demonstrated expertise in artificial intelligence or machine learning.
  • Previous experience negotiating milestone-based Statements of Work contracts.

Preferred Qualifications
  • Demonstrated expertise in applied AI/ML, generative and multimodal AI, enterprise search, agentic systems, workflow automation, NLP, or production AI engineering:
    • Experience designing, evaluating, deploying, or securing LLMs, multimodal models, RAG systems, AI agents, or human-AI decision-support tools.
    • Knowledge of AI-enabled threat intelligence and cyber defense, including detection, vulnerability prioritization, incident investigation, and response.
    • Understanding of AI security across data, models, prompts, retrieval, memory, tools, APIs, infrastructure, and third-party components.
    • Familiarity with AI threats such as prompt injection, jailbreaks, unsafe tool use, data or model poisoning, evasion, model extraction, and sensitive-data leakage.
    • Knowledge of agent security, including identity, authorization, least privilege, sandboxing, containment, MCP security, and supply-chain integrity.
    • Experience with AI evaluation, assurance, and red teaming, including threat modeling, adversarial testing, safety evaluations, monitoring, and incident response.
    • Knowledge of AI-enabled security operations, including threat hunting, vulnerability analysis, malware analysis, digital forensics, alert triage, and detection engineering.
    • Familiarity with privacy-preserving AI, including federated learning, differential privacy, secure aggregation, confidential computing, and multiparty computation.
    • Understanding of explainable and auditable AI, including interpretability, uncertainty, evidence traceability, and decision provenance.
    • Experience using generative AI, world models, digital twins, or multi-agent simulations for red teaming, mission rehearsal, synthetic data, and defensive testing.
    • Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming.
    • Working knowledge of modern AI architectures, including Transformers, mixture-of-experts, diffusion, state-space, retrieval, multimodal, agentic, and edge AI systems.
    • Understanding of the AI lifecycle, including data preparation, training, adaptation, evaluation, deployment, monitoring, governance, and retirement.
    • Experience with MLOps, LLMOps, or AgentOps practices and supporting production infrastructure.
    • Hands-on experience with Python, JavaScript/TypeScript, Go, or Rust and with cloud, GPU, API, container, or production data environments.
    • Ability to assess emerging AI technologies, separate demonstrated performance from marketing claims, and evaluate mission value, limitations, risks, and adoption barriers.
  • Commitment to continued understanding of new AI technologies and their strategic advantages.
  • Capable of analyzing complex problems including identifying root cause issues, generating a concise summary of analysis; and presenting recommendations for non-technical audiences.
  • Startup or entrepreneurial experience and proven ability to thrive in a non-traditional, entrepreneurial environment.
  • Comfortable presenting complex technology subjects to both technical and non-technical audiences.
  • Prior experience working with the U.S. Intelligence Community.
  • Strong writer: experience in both technical writing and proposal/contract writing is preferred.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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