Principal Solutions Architect – Machine Learning

Principal Solutions Architect | Drive AI Growth + Build Enterprise ML Solutions

This Jobot Job is hosted by: Robert Donohue
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Salary: $170,000 - $225,000 per year

A bit about us:

We are a premier modern data and AI consultancy helping enterprise organizations unlock value through cloud, analytics, machine learning, and intelligent automation. Our partnerships include leading platforms such as Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, dbt Labs, and Fivetran.

We are a remote-first organization with team members across the United States, Latin America, and India. Our culture is built around ownership, innovation, trust, curiosity, and delivering measurable outcomes for clients.

Why join us?

• Competitive Compensation: $170,000 – $225,000 base salary + Bonus
• Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide
• Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities
• Principal-level role combining technical leadership + client growth
• Lead enterprise AI / ML transformations for top-tier customers
• Award-Winning Culture: Collaborative, inclusive, and committed to professional development
• Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation
• Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks

Job Details

We are seeking a Principal Solutions Architect – Machine Learning to serve as a trusted advisor to clients while leading the design and delivery of enterprise AI / ML solutions. This role is ideal for someone with strong hands-on architecture experience who has also succeeded in consulting, pre-sales, post-sales, account growth, or strategic client leadership environments.

What You’ll Do
Client Engagement & Account Growth

• Build executive relationships with client stakeholders
• Understand long-term AI / ML priorities and create strategic roadmaps
• Identify expansion opportunities where additional AI or data solutions add value
• Partner with internal leadership to grow strategic accounts
• Lead RFPs, RFIs, solution proposals, and executive presentations
• Translate technical capabilities into business value and ROI

Technical Leadership & Delivery

• Architect end-to-end AI / ML solutions focused on scalability and performance
• Lead teams of ML Engineers, Data Scientists, and Architects
• Oversee AI platforms, production pipelines, and model deployment strategies
• Mentor teams on best practices in machine learning architecture and delivery
• Ensure successful execution across design, testing, deployment, and optimization
• Stay current on emerging AI technologies and recommend innovation paths

Required Background

• 8+ years in Solutions Architecture, Machine Learning Engineering, Data Science, or Software Engineering
• 3+ years leading consulting engagements, client relationships, or account growth initiatives
• Experience designing and deploying AI / ML solutions in production
• Strong pre-sales, proposal development, or expansion success
• Deep expertise with Amazon Web Services, Google Cloud, Microsoft Azure, Databricks, Vertex AI, or Amazon SageMaker
• Strong coding skills in Python, Java, Scala, or similar
• Experience leading cross-functional technical teams
• Strong client-facing communication and executive presence
• Bachelor’s degree in Computer Science or related field

Nice to Have

• Master’s degree in Data Science or related discipline
• Experience with TensorFlow, Keras, scikit-learn, MLflow, h2o
• Docker / Kubernetes experience
• Experience building enterprise ML products and APIs
• Open-source contributions or side projects
• Expertise with MLOps frameworks and production model monitoring

Interested in hearing more? Easy Apply now by clicking the "Apply" button.

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