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Full Time Learning Architect Jobs (NOW HIRING)

Drives the conception, prototyping, and deployment of machine learning models-particularly in ... Directly supervises 1 - 3 Full-time Equivalent (FTE) regular employees and/or contractors. Carries ...

Software Architect Department: Technology & Software Employment Type: Full Time Location ... Strategic thinking, decision-making, learning orientation, and creativity. * Team player with ...

Charlotte, NC(Onsite) Job Type: Full Time Worked on Agentic AI Wokrflows. Should be specialized in ... In-depth understanding of deep learning frameworks like TensorFlow, PyTorch, or similar. Strong ...

Senior Cloud AI Architect

Atlanta, GA · On-site

$62.50 - $79.50/hr

Metro Atlanta, GA (Local Candidates Only) Employment Type: Full-Time Job Summary Strategic MindZ ... Experience with Generative AI, LLM deployment, AI chatbots, machine learning, deep learning, and ...

Remote Duration: Full-time Notes: Remote; however, candidate should be willing to work and manage ... Learning, Time and Absence and Payroll * Must have experience as a Workday Architect with a strong ...

Data Architect

Herndon, VA · On-site

$65.50 - $84.25/hr

Secret or Top Secret Type: Full-time, W2 About VivSoft: VivSoft is a mission-driven technology ... Our work culture fosters collaboration, creativity, and continuous learning. Job Summary: The Data ...

New

Cloud Engineer/Architect

Richfield, MN

$67.25 - $85.75/hr

Company Description Themesoft We are seeking a Cloud Architect for a full time/permanent role ... for Machine Learning/Analytics Understanding and recommendations in the security model set up ...

Cloud Engineer/Architect

Richfield, MN · On-site

$67.25 - $85.75/hr

Company Description Themesoft We are seeking a Cloud Architect for a full time/permanent role ... practices for Google Cloud set up for Machine Learning/Analytics • Understanding and ...

Ability to translate business and learning requirements into scalable technical solutions. * Strong ... Additional Details This job has a full time weekly schedule. It includes the option to work ...

$90K - $149K/yr

Ability to translate business and learning requirements into scalable technical solutions. * Strong ... Additional Details This job has a full time weekly schedule. It includes the option to work ...

$90K - $149K/yr

Ability to translate business and learning requirements into scalable technical solutions. * Strong ... Additional Details This job has a full time weekly schedule. It includes the option to work ...

SOC Architect

Mountain View, CA · On-site

$175K - $450K/yr

... this full-time position is determined based on a variety of factors including role, experience ... Learning & Development $1,500 yearly towards your professional development e.g. conferences ...

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Full Time Learning Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do full time learning architect jobs pay per year?

As of Jul 23, 2026, the average yearly pay for full time learning architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Learning Architect jobs? The most popular types of Learning Architect jobs are:
AI Architect

Full-time

Medical, Retirement, PTO

Posted yesterday


Job description

Job Description
SUMMARY: The AI Architect is responsible for designing and delivering production-ready AI solutions across the organization. This individual will manage a small team of AI Engineers and occasionally flex roles from UX, front-end, and subject matter experts to create innovative solutions that leverage machine learning for enterprise-wide impact. The AI Architect will provide direct oversight of AI solution design, infrastructure, and deployment using standardized coding best practices. This position will mentor team members in technical development and ensure alignment with business objectives in the K12 and broader enterprise context. The AI Architect is deeply experienced, passionate about applied AI, comfortable building end-to-end ML pipelines in cloud environments, and able to set priorities and organize the collaborative work of a small technical team. They will drive the timely delivery of AI products directly linked to actionable business decisions.
ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.
  • Drives the conception, prototyping, and deployment of machine learning models-particularly in natural language processing (NLP) and recommender systems-across multiple product lines;
  • Leverages AWS and Azure ecosystems, containerization, and infrastructure-as-code tools to create and maintain production-ready AI systems that can scale efficiently;
  • Working from proof-of-concept through full productization, including data ingestion, model training, deployment, monitoring for performance drift, and iteration for continuous improvement;
  • Informs, influences, and supports product decisions.
  • Directly supervises 1-3 AI Engineers and occasional flex contributors on specific projects. Provides guidance on coding best practices, model development, and data governance;
  • Works closely with Product, Engineering, IT Managers, Data Stewards, and high-level executives to align AI initiatives with organizational objectives. Ensures that AI solutions adhere to governance and compliance requirements, including student data privacy;
  • Provides critical input and execution support, identifying practical opportunities for applied AI to drive business outcomes;
  • Ensures that AI deliverables are well-documented, reproducible, and monitored for ongoing performance and data integrity. Partners with governance teams and legal to adapt to evolving data privacy regulations and responsible AI practices;
  • Stays abreast of emerging trends and tools-such as large language models-and evaluates their applicability. Advocates for robust DevOps/MLOps, agile methodologies, and cross-functional collaboration to maximize the impact of AI deployments;
  • Aligns K12's AI capabilities with the needs of our schools & school services teams that will drive the adoption and use of actionable data to deliver improved outcomes;
  • Identifies and defines strategic opportunities for leveraging data science across other businesses and functions in support of K12's mission, vision and long-term strategy;
  • Demonstrates a passion for education and the K12 experience, actively motivating and encouraging the same passion in employees.

Supervisory Responsibilities: Directly supervises 1 - 3 Full-time Equivalent (FTE) regular employees and/or contractors. Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.
MINIMUM REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Math, Physics, Engineering, or related quantitative field AND
  • Six (6) years' related experience; OR
  • Equivalent combination of education and experience

Certificates and Licenses: None required. Certifications such as AWS Solutions Architect or Azure Solutions Architect are a plus but not mandatory.
OTHER REQUIRED QUALIFICATIONS:
  • Experience designing and deploying machine learning models-especially NLP and recommender systems-using Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn).
  • Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build scalable, secure, and high-performing environments.
  • High attention to detail and high level of accuracy.
  • Strong analytical skills.
  • Strong customer service orientation.
  • Professional integrity necessary to maintain confidentiality.
  • Strong planning skills and ability to manage multiple projects simultaneously.
  • Excellent verbal and written communication skills.
  • Ability to complete assigned duties within critical deadlines.
  • Ability to work independently and in a team environment.
  • Proficient with Microsoft Office (Word, Excel, PowerPoint, and Outlook).
  • Proficiency with modern reporting platforms and tools.
  • Ability to grasp complex platform concepts and business models, in a digital context.
  • Ability to clear required background check

PREFERRED QUALIFICATIONS:
  • Experience with MLOps frameworks such as MLflow or Kubeflow.
  • Familiarity with K12 education data or prior EdTech experience.
  • Experience working in an environment that emphasizes responsible AI, ethical AI, or complex governance practices.

WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • This is a home-based position

Compensation & Benefits: Stride, Inc. considers a person's education, experience, and qualifications, as well as the position's work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee's salary level. Salaries will differ based on these factors, the position's level and expected contribution, and the employee's benefits elections. Offers will typically be in the bottom half of the range.
We anticipate the salary range to be $113,073.75 to $180,000.00. Eligible employees may receive a bonus. This salary is not guaranteed, as an individual's compensation can vary based on several factors. These factors include, but are not limited to, geographic location, experience, training, education, and local market conditions. Stride offers a robust benefits package for eligible employees that can include health benefits, retirement contributions, and paid time off.
Job Type
Regular
The above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is "at-will" as governed by the law of the state where the employee works. It is further understood that the "at-will" nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer.
If you are a job seeker with a disability and require a reasonable accommodation to apply for one of our jobs, you can request the appropriate accommodation by contacting stridecareers@k12.com.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Stride, Inc. is an equal opportunity employer. Applicants receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or any other basis prohibited by federal, state, or local law. Stride, Inc. complies with all legally required affirmative action obligations. Applicants will not be discriminated against because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.