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Learning Architect Jobs in California (NOW HIRING)

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Learning Architect information

See California salary details

$45.9K

$127.1K

$198.9K

How much do learning architect jobs pay per year?

As of Aug 4, 2026, the average yearly pay for learning architect in California is $127,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,800.00 and $163,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by learning architects in their day-to-day work?

Learning Architects often navigate challenges such as aligning training solutions with diverse business objectives while accommodating varying learning styles and technological capabilities of the audience. They may need to manage tight deadlines, balance multiple projects, and collaborate with subject matter experts, stakeholders, and technical teams to ensure content accuracy and engagement. Adapting to new e-learning trends and integrating emerging technologies can also be demanding yet rewarding. Overcoming these challenges helps Learning Architects deliver impactful, effective educational experiences that drive organizational performance.

What does a learning architect do?

A Learning Architect designs and develops strategic learning experiences, frameworks, and instructional systems to support organizational or educational goals. They integrate technology, pedagogy, and user experience principles to create effective and scalable learning solutions. Their role often involves collaborating with subject matter experts, instructional designers, and technology teams to ensure content is engaging, accessible, and aligned with business or educational objectives.

What are the key skills and qualifications needed to thrive as a learning architect?

To thrive as a Learning Architect, you need expertise in instructional design, curriculum development, and a solid understanding of adult learning principles, typically supported by a degree in education, instructional design, or a related field. Familiarity with learning management systems (LMS), authoring tools like Articulate Storyline or Adobe Captivate, and industry certifications such as CPLP or ATD are highly valued. Strong collaboration, project management, and communication skills set candidates apart in this role. These skills are crucial for designing effective, scalable learning solutions that meet organizational goals and engage diverse learner populations.

What are popular job titles related to Learning Architect jobs in California? For Learning Architect jobs in California, the most frequently searched job titles are:
What job categories do people searching Learning Architect jobs in California look for? The top searched job categories for Learning Architect jobs in California are:
What cities in California are hiring for Learning Architect jobs? Cities in California with the most Learning Architect job openings:
Learning Architect jobs near you
Infographic showing various Learning Architect job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,070 per year, or $61.1 per hour.

Machine Learning Architect

Joy and Grace LLC

Redwood City, CA • On-site

$130K - $160K/yr

Full-time

Re-posted 28 days ago

Job description

As a Machine Learning Architect, you'll be the driving force behind the next generation of our autonomous fulfillment solutions, leading the definition and design of cutting-edge machine learning versions for our core algorithms. You will be instrumental in evolving our product suite, ensuring our systems are more intelligent, adaptive, and efficient than ever before.

Key Responsibilities:

  • Own the architectural vision for all ML applications within our product suite, translating business needs into robust and scalable ML system designs.
  • Define the architecture and design patterns, and build POCs for ML algorithms.
  • Work with the engineering team on design and implementation of ML model pipelines, including data ingestion, training, validation, deployment, and monitoring.
  • Collaborate closely with software, robotics, product, and operations teams to align system goals with real-world fulfillment challenges.
  • Stay at the forefront of ML research and technology, identifying opportunities to apply new techniques to our products.

Required Qualifications:

  • Education: M.S/Ph.D in Computer Science, AI/ML, or a related field.
  • Experience: 10+ years of total experience in academia or industry.
  • Technical Expertise
  • Deep expertise in machine learning, deep learning
  • Hands-on experience in building and deploying production grade ML models
  • Experience with the full ML pipeline (data collection, model training, MLOps, deployment)
  • Experience with Generative-AI and LLMs
  • Experience with cloud platforms and their ML services (e.g. Vertex AI)
  • Ability to identify high-impact AI use cases and translate business problems into technical requirements
  • Experience building and implementing an AI strategy and roadmap for a team/organization
  • Strong understanding of data architecture and big data technologies (e.g., data lakes, streaming pipelines)
  • Experience with ML Ops principles and tools for continuous model delivery
  • (Nice to Have) - Contributions to open-source projects, research publications, or patents in ML/AI