Machine Learning Principal Solutions Architect

Summary

Join phData, a leading innovator in the modern data stack, partnering with major cloud platforms. We are a remote-first global company committed to helping global enterprises overcome their toughest data challenges. As a Principal Solutions Architect in our Machine Learning Engineering team, you will be responsible for both delivering high-quality AI/ML solutions and driving account growth and strategic client engagement. This role requires technical leadership, client engagement, and a proven track record of success in AI/ML solution design and implementation. We offer a casual, award-winning work environment, competitive compensation, excellent benefits, and opportunities for professional development. phData celebrates diversity and is committed to creating an inclusive environment for all employees.

Requirements

• 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

Responsibilities

• 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
• 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

Preferred Qualifications

• 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

Benefits

• 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