Principal Applied AI Solutions Architect

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🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

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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

• Lead the architecture, implementation, and lifecycle management of AI/ML applications that deliver measurable business value • Own strategic AI/ML projects from vision and solution design through deployment and ongoing optimization • 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 • 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 client workshops, discovery sessions, and architecture reviews • Align stakeholders on AI/ML roadmaps, deployment approaches, and production-readiness standards • Ensure solution quality, reliability, observability, 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 • Collaborate with clients, Sales, data scientists, ML engineers, data engineers, platform/DevOps teams, and business stakeholders

🎯 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 and their integration into analytical and ML environments • 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 design, documentation, implementation, testing, deployment, ongoing operations, model deployment, monitoring, and lifecycle management • Bachelor’s degree in a relevant technical field such as Computer Science or equivalent practical experience is listed under “Education - If desired” and is not required • Preferred: experience with Spark, Databricks, Snowflake, AWS, Azure, or GCP for AI/ML solutions • Preferred: experience with H2O, TensorFlow, Keras, scikit-learn, or similar ML frameworks • Preferred: experience with Docker, Kubernetes, AWS SageMaker, Azure ML, and MLflow • Preferred: consulting or professional services background, including pre-sales, project scoping, and strategic advisory work • Preferred: technical community, open source, public speaking, writing, or thought leadership contributions

🏖️ 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 plus 10 Holidays (and other cool perks) • Access to challenging projects, mentorship, and structured development pathways • Supportive, high-performing global team • Transparency, autonomy, and continuous improvement