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Senior 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 ... Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic ...

phData

OR · On-site

Own and drive end-to-end architecture, solution design, and delivery of machine learning and data ... Act as a trusted advisor to senior client stakeholders, shaping roadmaps, influencing strategic ...

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 ...

CDW

Sr Learning and Development Specialist

Chicago, IL · On-site

Build and maintain skills-based learning architecture aligned to enterprise skills taxonomy Map ... solutions using modern instructional design technology and principles Apply appropriate training ...

Exemplar Companies

Senior Solutions Architect

Boston, MA · Remote

$130K - $160K/yr

Senior Solutions Architect Location: Remote - United States Job Type: Full-Time, Permanent About ... Experience with AI, machine learning, and large language models (LLMs) technologies. * Familiarity ...

Exemplar Companies

Senior Solutions Architect

Boston, MA · On-site

$130K - $160K/yr

Senior Solutions Architect Location: Remote - United States Job Type: Full-Time, Permanent About ... Experience with AI, machine learning, and large language models (LLMs) technologies. * Familiarity ...

Exemplar Companies

Senior Solutions Architect

Boston, MA · Remote

$130K - $160K/yr

Senior Solutions Architect Location: Remote - United States Job Type: Full-Time, Permanent About ... Experience with AI, machine learning, and large language models (LLMs) technologies. * Familiarity ...

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Senior Learning Solutions Architect information

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$21.5K

$152K

$222.5K

How much do senior learning solutions architect jobs pay per year?

As of Jul 25, 2026, the average yearly pay for senior learning solutions architect in the United States is $151,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,500.00 and $176,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Learning Solutions Architect, and why are they important?

To thrive as a Senior Learning Solutions Architect, you need deep expertise in instructional design, curriculum development, and adult learning theory, often supported by a relevant degree and experience in learning and development. Familiarity with learning management systems (LMS), e-learning authoring tools (such as Articulate or Captivate), and certifications like CPLP or PMP are typically required. Strong project management, stakeholder engagement, and communication skills help you excel in designing effective learning solutions and leading cross-functional teams. These skills are crucial for delivering impactful, scalable learning programs that align with organizational goals and drive employee growth.

What does a Senior Learning Solutions Architect do?

A Senior Learning Solutions Architect designs and implements complex learning and development programs for organizations. They analyze the training needs of a business, create strategic learning solutions, and often oversee the integration of technology and digital platforms into educational initiatives. In this role, they collaborate with stakeholders, subject matter experts, and instructional designers to ensure learning solutions align with business goals and drive employee performance. Their expertise helps organizations foster continuous learning and adapt to changing industry requirements.

How does a Senior Learning Solutions Architect typically collaborate with subject matter experts and stakeholders during the course design process?

A Senior Learning Solutions Architect works closely with subject matter experts (SMEs), instructional designers, and organizational stakeholders to ensure that learning programs are both effective and aligned with business objectives. This involves facilitating discovery meetings, translating technical or business requirements into actionable learning strategies, and iteratively reviewing content to ensure accuracy and relevance. Strong communication and project management skills are essential, as the role often requires balancing input from multiple parties while maintaining a clear vision for the learning solution.
More about Senior Learning Solutions Architect jobs
What cities are hiring for Senior Learning Solutions Architect jobs? Cities with the most Senior Learning Solutions Architect job openings:
What are the most commonly searched types of Learning Solutions Architect jobs? The most popular types of Learning Solutions Architect jobs are:
What states have the most Senior Learning Solutions Architect jobs? States with the most job openings for Senior Learning Solutions Architect jobs include:
Senior Learning Solutions Architect jobs near you
Infographic showing various Senior Learning Solutions Architect job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $151,968 per year, or $73.1 per hour.
Machine Learning Solutions Architect

Machine Learning Solutions Architect

phData

Remote

$64.50 - $85/hr

Full-time

Posted 4 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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