Principal Applied AI Solutions Architect

🕒 August 5

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 44%

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phData

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $2.5M Seed Round on 2018-03

Consulting • Healthcare • Manufacturing

phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.

📋 Description

• Own and drive end-to-end solution design and delivery of AI/ML and data solutions for strategic client accounts. • Ensure reliable model deployment, retraining, monitoring, and production operations that create clear business impact. • Translate business and data science requirements into scalable, secure, and resilient AI/ML architectures. • Define environments, data flows, and infrastructure for model development, training, tuning, and serving. • Lead technical and strategic client engagements, including workshops, discovery sessions, and architecture reviews. • Align stakeholders on AI/ML roadmaps, deployment approaches, and production-readiness standards. • Ensure solution quality, reliability, and observability through testing, documentation, monitoring, and governance. • Contribute to reusable reference architectures, accelerators, templates, and playbooks. • Mentor team members and partner with Sales and account leadership to grow strategic AI/ML engagements.

🎯 Requirements

• 10+ years of experience as a Machine Learning Engineer, Software Engineer, Data Engineer, or Data Scientist building and deploying production data and machine learning solutions. • Strong proficiency in a modern programming language such as Python or similar. • Experience designing and integrating APIs and services that expose ML models. • Ability to build and operate robust data pipelines across diverse data sources and toolsets. • Strong working knowledge of SQL, including writing, debugging, and optimizing complex distributed queries. • Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS, or similar technologies. • Familiarity with JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP integration. • Systems-level knowledge of network and cloud architecture, Linux-based operating systems, and storage/compute platforms such as AWS, Databricks, and Cloudera. • Proven experience designing and operating production ML systems for performance, security, scalability, and reliability. • End-to-end software development lifecycle experience for data and ML solutions, including model deployment, monitoring, and lifecycle management. • Bachelor’s degree in a relevant technical field or equivalent practical experience is listed under “Education - If desired.” • Comfortable operating in distributed, global teams and partnering across time zones.

🏖️ Benefits

• Remote-First Work Environment • 401k plan with company match • Dental and Vision insurance • Home Office Equipment Stipend • Annual stipend for Learning and Development • Competitive comp • Excellent benefits • 4 weeks PTO plan • 10 Holidays • Access to challenging projects, mentorship, and structured development pathways • Supportive, high-performing global team • Impactful work with leading organizations on data and AI initiatives

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