Principal Solutions Architect - Machine Learning

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. Responsibilities 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 deliveryEnsure successful execution across design, testing, deployment, and optimization
• Stay current on emerging AI technologies and recommend innovation paths

• 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

• 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

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., Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.