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Learning Architect Jobs (NOW HIRING)

phData

Machine Learning Solutions Architect

$64.50 - $85/hr

In this role, you will lead the architecture and implementation of production-grade machine learning and data solutions that enable customers to realize tangible business value from their data. You ...

Amazon

Sr. Learning Architect, Amazon Leo

Arlington, VA · On-site

As we prepare to launch service and scale our training operations across customers, partners, and field service providers, we need a Sr. Learning Solution Architect who can own the technical backbone ...

phData

OR

We are looking for a Sr. Machine Learning Architect to join our Machine Learning team. In this role, you will lead the architecture and implementation of production-grade machine learning and data ...

phData

Sr. Machine Learning Solutions Architect

In this role, you will lead the architecture and implementation of production-grade machine learning and data solutions that enable customers to realize tangible business value from their data. You ...

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Learning Architect information

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$46.5K

$128.8K

$201.5K

How much do learning architect jobs pay per year?

As of Jun 12, 2026, the average yearly pay for 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 does a learning architect do?

A learning architect designs and develops educational programs, curricula, and learning experiences tailored to organizational needs. They analyze learning goals, select appropriate tools and technologies, and often collaborate with subject matter experts to create effective training solutions. Strong skills in instructional design, technology, and project management are essential for this role.

What job makes $10,000 a month without a degree?

A Learning Architect typically earns less than $10,000 a month without a degree, as high salaries in this field often require advanced experience or certifications. However, some high-paying roles in sales, real estate, or entrepreneurship can reach or exceed this income level without formal degrees, especially with strong skills, networks, and business acumen.

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 is the salary of an ML architect?

The salary of a machine learning (ML) architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior ML architects with specialized skills or certifications can earn higher salaries, especially in tech hubs or large organizations.

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.

How to become an architect with no experience?

To become a Learning Architect with no experience, start by gaining foundational knowledge through relevant education such as a degree in education, instructional design, or related fields. Develop skills in curriculum development, e-learning tools, and learning management systems, and seek entry-level roles or internships to build practical experience. Certifications like Certified Professional in Learning and Performance (CPLP) can also enhance your qualifications.

What are the key skills and qualifications needed to thrive in the Learning Architect position, and why are they important?

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.

More about Learning Architect jobs
What cities are hiring for Learning Architect jobs? Cities with the most Learning Architect job openings:
What are the most commonly searched types of Learning Architect jobs? The most popular types of Learning Architect jobs are:
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Learning Architect jobs near you
Infographic showing various Learning Architect job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 20% Full Time, 74% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.
Machine Learning Solutions Architect

Machine Learning Solutions Architect

phData

Remote

$64.50 - $85/hr

Full-time

Posted 22 days ago

Job description

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions.We're committed to helping global enterprises overcome their toughest data challenges.
phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
  • 6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
  • Fivetran, dbt, Atlation, and AWS Partner of the Year
  • #1 Partner in Snowflake Advanced Certifications
  • 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)

Recognized as an award-winning workplace in the US, India, and LATAM
We are looking for a Machine Learning Architect to join our Machine Learning team. In this role, you will lead the architecture and implementation of production-grade machine learning and data solutions that enable customers to realize tangible business value from their data. You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams, and practice leadership to deliver high-quality solutions and advance phData's delivery excellence.
Key Responsibilities
Client Delivery
  • Own and drive end-to-end architecture, solution design, and delivery of machine learning and data solutions for enterprise clients across diverse industries.
  • Translate business and data science requirements into scalable technical and MLOps solutions that align with phData methodologies, standards, and best practices.
  • Ensure engagements are delivered on time, within scope, and with measurable business value for clients.
  • Design and create secure, scalable environments and tooling for data scientists to build, train, and manipulate models and data.
  • Work within customer technology ecosystems to extract data from a variety of source systems and place it within analytical and model-training environments.
  • Define deployment approaches and production infrastructure for machine learning models, ensuring that businesses can reliably use, monitor, and maintain the models we develop.
  • Demonstrate and reveal the business value of data by partnering with data scientists to manipulate and transform data into actionable insights and deployable machine learning models.
  • Create and execute operational testing strategies, including QA validation, performance testing, and implementation plans, to support model testing and deployment.
  • Ensure the quality, reliability, and observability of delivered solutions through testing, documentation, logging, and monitoring.
Collaboration & Leadership
  • Collaborate with cross-functional partners, including data science, data engineering, platform/DevOps, and business stakeholders, to deliver successful client engagements.
  • Provide technical and strategic leadership during workshops, discovery sessions, architecture and design reviews, and project delivery.
  • Ensure high quality in deliverables through code reviews, documentation, testing, governance, and adherence to security and compliance standards.
  • Partner with practice and account leaders to identify opportunities to expand engagements, improve delivery, and standardize patterns for deploying and operating ML solutions.
  • Serve as a technical thought leader for clients, recommending technologies and solution designs for model inference, retraining, monitoring, and lifecycle management from the application layer down to infrastructure.
Practice & Firm Contribution
  • Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to machine learning engineering and MLOps.
  • Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders.
Additional Responsibilities
  • Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic decisions, and guiding long-term initiatives.
  • Mentor and coach team members, fostering a culture of learning, feedback, and continuous improvement.
  • Help define and refine practice standards, reusable assets, and delivery frameworks.
About You
You are a technical leader and client-focused consultant who enjoys turning complex machine learning ideas into robust, production-ready solutions. You are comfortable working across data, infrastructure, and application layers, partnering directly with data scientists, engineers, and business stakeholders. You thrive in an outcomes-driven environment, navigating complex customer ecosystems to design architectures that are performant, secure, scalable, and maintainable.
Required Qualifications
Experience
  • 6+ years of experience as a Machine Learning Engineer, Software Engineer, or Data Engineer building and deploying production data and machine learning solutions.

Technical / Functional Skills
  • Hands-on expertise in modern programming languages such as Python, Scala, Java, or similar, including experience developing APIs and web applications using frameworks such as Flask, Django, or Spring.
  • Experience building and operating robust data pipelines and distributed data processing solutions using SQL and big data technologies (e.g., Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS).
  • Strong systems-level knowledge of network and cloud architecture, Linux-based operating systems, and data/storage platforms (e.g., AWS, Databricks, Cloudera), with familiarity across data and messaging systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP; proven experience deploying machine learning models in production environments.
  • Strong working knowledge of SQL and the ability to write, debug, and optimize complex and distributed queries.
  • Hands-on experience with one or more big data ecosystem products and languages such as Spark, Snowflake, Databricks, etc.
  • Production experience in core data technologies and platforms (e.g., Spark, HDFS, Snowflake, Databricks, Redshift, Amazon EMR).
  • Complete software development lifecycle experience, including design, documentation, implementation, testing, deployment, and ongoing operations.
  • Excellent communication and presentation skills, with previous experience working directly with internal or external customers.
Consulting / Delivery Skills
  • Experience delivering projects for external or internal clients in a professional services or consulting environment.
  • Ability to break down complex problems into structured, actionable steps and drive them through to completion.
  • Strong written and verbal communication skills in English.
  • Comfort presenting technical solutions to external clients and facilitating discussions with both technical and business stakeholders.
Collaboration & Ownership
  • Demonstrated ability to work effectively with distributed and cross-functional teams, including data scientists, engineers, and business stakeholders.
  • Proven track record of taking ownership, managing multiple priorities, and delivering high-quality work with minimal supervision.
Education
  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience preferred.
Preferred Qualifications
Preferred qualifications help candidates stand out but are not required for success in this role.
  • Experience in specific industry verticals or problem spaces where machine learning and data platforms are applied at scale (e.g., personalization, forecasting, risk modeling, operations optimization).
  • Hands-on experience with ecosystem technologies and cloud platforms such as Spark, Databricks, Snowflake, AWS, Azure, or GCP, and experience working with ML tooling such as AWS SageMaker, Azure ML, and MLflow, as well as libraries such as TensorFlow, Keras, scikit-learn, or H2O.
  • Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
  • Contributions to open source technology stacks, technical communities, speaking, or writing are a plus.
  • A Master's or other advanced degree in data science, computer science, or a related field.
Location & Time Zone Expectations
This role is based in the United States and operates primarily in Central Time Zone.
  • We are a remote-first company, and you should be comfortable working with a distributed global team.
  • Some flexibility may be required to collaborate across time zones with colleagues and clients.
  • Client needs may occasionally require flexibility in working hours to support key milestones or workshops.
Why phData?
  • Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
  • Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
  • Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

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