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Learning Solutions Architect Jobs (NOW HIRING)

phData

Machine Learning Solutions Architect

$64.50 - $85/hr

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 ...

phData

OR · On-site

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 ...

DataCamp

Learning Solution Architect

New York, NY · On-site

$69 - $90.75/hr

About the role + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You'll deliver engaging ...

DataCamp

Learning Solution Architect

New York, NY · Hybrid

$69 - $90.75/hr

About the role + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You'll deliver engaging ...

Meta

Solutions Architect

New York, NY

$152K/yr

The core function of this Solutions Architect position is to empower the Reality Labs Retail, Sales ... Champion AI-native approaches by designing and integrating advanced AI and machine learning ...

Meta

Solutions Architect

Burlingame, CA

$152K/yr

Champion AI-native approaches by designing and integrating advanced AI and machine learning ... such as Solution Architect or Technical Consultant * B.S. or M.S. in business-related or ...

Meta

Solutions Architect

Austin, TX

$152K/yr

Champion AI-native approaches by designing and integrating advanced AI and machine learning ... such as Solution Architect or Technical Consultant * B.S. or M.S. in business-related or ...

ECS

Sr. Databricks Solutions Architect

Huntsville, AL · On-site

Everforth ECS is seeking a Sr. Databricks Solutions Architect to join our team in Huntsville ... learning, and AI-driven insights, and enjoy working in a consulting environment where technical ...

Meta

Solutions Architect

Seattle, WA

$152K/yr

Champion AI-native approaches by designing and integrating advanced AI and machine learning ... such as Solution Architect or Technical Consultant * B.S. or M.S. in business-related or ...

Kira Learning

Solutions Architect

New York, NY · On-site +1

$69 - $90.75/hr

... learning at scale. We're backed by top investors and driven by a team that is deeply passionate ... As a Solutions Architect at Kira, you will be a key partner on the Sales team, combining your ...

Beyond SOF

Solutions Architect

Fulton, MD · On-site

$61.50 - $81/hr

Solutions Architect TS/SCI Full Scope Poly At the client, our Solutions Architects design ... You will grow every day by learning pioneering technologies, gaining exposure to successful startup ...

Sunrise Systems

Solutions Architect

Milwaukee, WI · On-site

$62 - $81.75/hr

Solution Architect Translate our needs into architecture solutions through the design, creation ... A desire for learning, investigation, and understanding and the ability to question solution ...

Sunrise Systems

Solutions Architect

$64.50 - $85/hr

Solution Architect Location: Hybrid - Milwaukee, WI (Preferred) 3 days a week, Houston, or Ohio ... Experience designing cloud-based solutions * desire for learning, investigation, and understanding ...

IT First Source

Solutions Architect

Chippewa Falls, WI · On-site

$61.25 - $80.50/hr

The solutions architect proactively and holistically leads and supports Enterprise Architecture (EA ... Knowledge of various artificial intelligence/machine learning frameworks (AI/ML) * Data savvy with ...

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Learning Solutions Architect information

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$16

$70

$95

How much do learning solutions architect jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for learning solutions architect in the United States is $70.17, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $79.81 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

For a Learning Solutions Architect, annual salaries of $300,000 or more are typically found in senior or executive roles, especially in large organizations or consulting firms, often requiring extensive experience, advanced certifications, and expertise in instructional design, technology, and enterprise learning strategies. High compensation may also be associated with roles involving leadership, strategic planning, or specialized technical skills in the education and training industry.

How much do learning architects make?

Learning Solutions Architects typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in e-learning platforms and instructional design can earn higher salaries, often exceeding $150,000.

What are some common responsibilities of a Learning Solutions Architect on a typical project?

A Learning Solutions Architect typically collaborates with subject matter experts, instructional designers, and stakeholders to analyze learning needs and design comprehensive training solutions. Responsibilities may include developing curricula, selecting or customizing content delivery technologies, and ensuring that solutions align with business goals and learning outcomes. Architects often oversee the integration of assessment tools and recommend best practices for engaging learners, whether for in-person, blended, or digital modalities. This role also frequently involves managing project timelines, facilitating training sessions, and providing expertise to support continuous improvement of learning programs.

What does a learning solutions architect do?

A learning solutions architect designs and develops educational programs and technology-based training solutions to meet organizational learning needs. They analyze requirements, select appropriate tools and platforms, and create scalable, effective learning experiences often using instructional design principles and learning management systems. This role requires strong technical skills, understanding of adult learning theories, and collaboration with stakeholders.

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

To thrive as a Learning Solutions Architect, you need expertise in instructional design, curriculum development, and adult learning theories, often supported by a degree in education, instructional technology, or a related field. Familiarity with learning management systems (LMS), authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications like CPLP or ATD are highly beneficial. Strong communication, project management, and stakeholder engagement skills help distinguish top performers in this role. These competencies are crucial for effectively designing impactful learning experiences that align with organizational objectives and deliver measurable results.

How much do machine learning Solutions Architects make?

Machine Learning Solutions Architects typically earn between $100,000 and $160,000 annually, with salaries varying based on experience, location, and industry. Professionals with advanced skills in cloud platforms, data modeling, and AI tools tend to command higher compensation.

What does a Learning Solutions Architect do?

A Learning Solutions Architect designs and develops training programs and learning experiences to meet organizational needs. They analyze business goals, identify learning gaps, and create strategic solutions using instructional design, technology, and adult learning principles. Their role often involves collaborating with stakeholders, selecting appropriate learning tools, and ensuring that training materials align with business objectives. They may also oversee the implementation and evaluation of learning programs to measure effectiveness and improve outcomes.

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Learning Solutions Architect jobs near you
Infographic showing various Learning Solutions Architect job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $145,963 per year, or $70.2 per hour.
Machine Learning Solutions Architect

Machine Learning Solutions Architect

phData

Remote

$64.50 - $85/hr

Full-time

Posted 13 days ago

Job description

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Why phData?
  • Snowflake Implementation Partner of the Year - 7 consecutive years, and 2026 Snowflake AI Partner of the Year
  • AWS Premier Tier Services Partner - the highest tier of recognition in the AWS Partner Network
  • 2025 Fivetran Partner of the Year (4th consecutive year)
  • 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
  • 2026 KNIME Customer Excellence Partner of the Year
  • Preferred Partner in the Anthropic Claude Partner Network
  • #1 Partner in Snowflake Advanced Certifications
  • 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
  • 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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