phData is hiring a Machine Learning Principal Solutions Architect

phData is hiring a Machine Learning Principal Solutions Architect. In this role, you will drive delivery excellence and customer success in AI/ML solutions, combining technical leadership in architecting scalable platforms with strategic client engagement and account growth.

What You'll Do

• Architect end-to-end AI/ML solutions, ensuring scalability, performance, and alignment with customer goals.
• Lead a team of machine learning engineers and data scientists to build platforms, pipelines, and products.
• Communicate business value and ROI of AI/ML solutions to 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 to inform solution design.
• Build relationships with client stakeholders to understand their long-term AI/ML goals and design roadmaps.
• Craft persuasive technical approaches and value propositions to drive client initiatives forward.
• Identify and drive account expansion opportunities by uncovering unmet client needs.
• Lead responses to RFIs and RFPs.

What We're Looking For

• 8+ years as a hands-on Solutions Architect, Data Scientist, or Software Engineer designing complex AI/ML platforms.
• 3+ years of Consulting leadership experience leading projects, expanding customer relationships, and ensuring delivery 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.
• Ability to build and operate robust data pipelines using diverse sources 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.

Nice to 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 with Data-Science and Machine-Learning software and libraries such as h2o, TensorFlow, Keras, scikit-learn.
• Experience with Docker, Kubernetes, or other containerization technology.
• AWS SageMaker (or Azure ML) and MLflow experience.
• Experience building enterprise ML models.

Technical Stack

• Languages: Python, Scala, Java
• Platforms: AWS, GCP, Azure, Databricks, Vertex AI, SageMaker
• Frameworks & Libraries: Flask, Django, Spring, h2o, TensorFlow, Keras, scikit-learn
• Infrastructure: Docker, Kubernetes, MLflow

Team & Environment

You will lead a team of machine learning engineers and data scientists.

Benefits & Compensation

• 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
• Accelerated learning and professional development through advanced training and certifications

Work Mode

This is a global, remote position open to candidates in the United States, Latin America, and India.

phData celebrates diversity and is committed to creating an inclusive environment for all employees. 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.