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Summer 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

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

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

Sr. Machine Learning Solutions Architect

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

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

Burlingame, CA · On-site

$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

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 ...

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

Austin, TX · On-site

$152K - $214K/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 ...

Paychex

Learning Architect

Phoenix, AZ · Remote

$70K - $110K/yr

Our digital HR technology and advisory solutions cater to the changing needs of employers and their ... Overview The Learning Architect (LA) is responsible for strategically designing and developing ...

Paychex

Learning Architect

Rochester, NY · Remote

$70K - $110K/yr

Our digital HR technology and advisory solutions cater to the changing needs of employers and their ... Overview The Learning Architect (LA) is responsible for strategically designing and developing ...

Paychex

Learning Architect

Tempe, AZ · Remote

$70K - $110K/yr

Our digital HR technology and advisory solutions cater to the changing needs of employers and their ... Overview The Learning Architect (LA) is responsible for strategically designing and developing ...

Paychex

Learning Architect

Rochester, NY · On-site

$70K - $110K/yr

Our digital HR technology and advisory solutions cater to the changing needs of employers and their ... Overview The Learning Architect (LA) is responsible for strategically designing and developing ...

Paychex

Learning Architect

Irving, TX · Remote

$70K - $110K/yr

Our digital HR technology and advisory solutions cater to the changing needs of employers and their ... Overview The Learning Architect (LA) is responsible for strategically designing and developing ...

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All JobsSummer Learning Solutions Architect Jobs

Summer Learning Solutions Architect information

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How much do summer learning solutions architect jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for summer 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.
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What are the most commonly searched types of Learning Solutions Architect jobs? The most popular types of Learning Solutions Architect jobs are:
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Summer Learning Solutions Architect jobs near you
Machine Learning Solutions Architect

Machine Learning Solutions Architect

phData

Remote

$64.50 - $85/hr

Full-time

Posted 21 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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