Machine Learning Principal Solutions Architect

phData; Atlanta (GA); Remote; USD 165,000 - 185,000; Full time

Job summary

An innovative leader in the modern data stack is seeking a Principal Solutions Architect to drive delivery excellence and customer success. This remote-first role involves architecting scalable AI/ML solutions, leading cross-functional teams, and engaging with clients to align AI/ML initiatives with their business objectives. Join a dynamic company that values autonomy, creativity, and a collaborative culture, with a commitment to professional development and a casual work environment. If you have a passion for technology and want to make a significant impact in the data industry, this opportunity is for you.

Benefits

4 weeks PTO

10 Holidays

Competitive compensation

Professional development

Casual work environment

Remote-first work environment

Qualifications

• 8+ years as a Solutions Architect or Data Scientist with AI/ML experience.
• Experience leading cross-functional teams and driving account growth.

Responsibilities

• Architect end-to-end AI/ML solutions ensuring scalability and performance.
• Lead a team to build AI/ML platforms and communicate business value.

Skills

AI/ML technologies

Python

Scala

Java

Data pipeline development

Communication skills

Education

Bachelor's degree in Computer Science

Master’s degree in data science

Tools

AWS

GCP

Azure

Databricks

Docker

Kubernetes

TensorFlow

Keras

scikit-learn

Job description

Machine Learning Principal Solutions Architect

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Machine Learning Principal Solutions Architect

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Join to apply for the Machine Learning Principal Solutions Architect role at phData

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.

• 5x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024)
• Fivetran, dbt, Atlation, Matillion 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 US, India and LATAM
  
  

Our Principal Solutions Architects play a critical role in driving delivery excellence and ensuring customer success. This role is dually responsible for delivery high-quality AI/ML solutions while also driving account growth and strategic client engagement. We are dedicated to hiring not only brilliant engineers, but prescriptive consultants who embody customer obsession. Your ability to combine technical expertise with strategic insight and relationship-building will be essential to elevating our consulting services and driving success for our clients.

As a Principal Solutions Architect on our Machine Learning Engineering team, you are responsible for:

Technical Leadership and Delivery Excellence:

• Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer requirements and goals
• Lead a team of machine learning engineers and data scientists to build AI/ML platforms, pipelines, and products that meet customer requirements and expectations
• Communicate business value and ROI of AI/ML solutions to both technical and non-technical stakeholders
• Mentor team members on best practices in AI/ML architecture, modeling, and technology.
• Stay abreast of emerging technologies and methodologies in AI/ML to inform solution design and delivery.
  
  

Client Engagement and Account Growth

• Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps that align with business objectives.
• Craft persuasive technical approaches and value propositions to drive client AI/ML initiatives forward
• Identify and drive account expansion opportunities by uncovering unmet client needs and where AI/ML can add value.
• Lead responses to RFIs and RFPs, crafting persuasive technical approaches and value propositions.
  
  

Required Experience:

• 8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer that has designed and implemented complex AI/ML platforms and solutions
• 3+ years previous Consulting leadership experience leading projects, expanding customer relationships and ensuring delivery lead growth
• 4-year Bachelor's degree in Computer Science or a related field
• Experience deploying machine learning models in a production setting
• Proven track record of account expansion, pre-sales, and proposal development
• Experience leading cross-functional teams of engineers, data scientists, and architects
• Deep expertise in AI/ML technologies and platforms (e.g., AWS, GCP, Azure, Databricks, Vertex AI, SageMaker)
• Expertise in Python, Scala, Java, or another modern programming language
• The ability to build and operate robust data pipelines using a variety of data sources, programming languages, and toolsets
• Development of APIs and web server applications (e.g. Flask, Django, Spring)
• Complete software development lifecycle experience, including design, documentation, implementation, testing, and deployment
• Excellent communication and interpersonal skills, with the ability to navigate complex client relationships
  
  

You might also have:

• Master’s or other advanced degree in data science or a related field
• Relevant side projects (e.g. contributions to an open source technology stack)
• Experience working with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn, etc.
• Experience with Docker, Kubernetes, or some other containerization technology
• AWS Sagemaker (or Azure ML) and MLflow experience
• Experience building enterprise ML models
  
  

Why phData? We offer:

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications
  
  

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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