Applied AI Solutions Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 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 design and delivery of end-to-end Applied AI solutions, translating business objectives into robust architectures and implementation plans on modern data and cloud platforms. • Own the technical quality of AI solutions, ensuring they are secure, scalable, observable, and maintainable from experimentation through production and ongoing operations. • Partner with client stakeholders to understand strategy and constraints, define AI use cases and success criteria, and guide roadmap, prioritization, and adoption decisions. • Guide cross-functional phData teams across data engineering, data science, MLOps, and platform disciplines on solution patterns, delivery approach, and production-grade AI best practices. • Contribute to phData’s Applied AI frameworks, accelerators, and reusable assets to improve delivery consistency, speed, and quality across engagements.

🎯 Requirements

• 5+ years of experience architecting and delivering AI/ML or data-intensive solutions on modern cloud platforms. • Proven experience designing and implementing end-to-end Applied AI or ML solutions from experimentation through production on a major cloud platform. • Strong knowledge of modern data architectures and pipelines supporting AI/ML workloads. • Experience integrating AI/ML workloads with feature stores, model registries, and monitoring. • Ability to translate business objectives into technical AI solution designs, use cases, requirements, and success metrics. • Experience collaborating with data engineering, data science, platform, and security teams. • Proficiency with model lifecycle, MLOps, experimentation, and observability concepts and practical application. • 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 • Challenging projects • Mentorship • Structured development pathways • Supportive, high-performing global team • Transparency, autonomy, and continuous improvement