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As a Solutions Architect at phData, you'll lead the design and implementation of cloud-native data platforms, driving optimization and automation for clients using AWS, Azure, and Snowflake.

The RVP will lead the strategic partnership with Anthropic, driving revenue growth, aligning teams, and fostering executive-level relationships to enhance market strategies and client engagement.

The role involves building AI-native applications and agents in a customer-embedded setting, focusing on rapid prototyping, full-stack engineering, and aligning solutions with business outcomes. It requires strong technical and communication skills for engaging with stakeholders to identify AI use cases and deliver measurable ROI.

The Client Account Lead will manage strategic accounts, drive growth and profitability, build executive relationships, and represent phData at industry events.

The Solutions Architect will design and implement data solutions while mentoring engineers, ensuring performance and security, and communicating effectively with clients.

The role involves shaping content strategy around AI and data platforms, enhancing brand authority and visibility through compelling narratives and editorial strategies while managing content operations and partnerships across the organization.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

As a Solutions Architect at phData, lead design, implementation, and optimization of large-scale data platforms, focusing on ArcGIS integration and cloud services to enhance client success and system performance.

The Machine Learning Solutions Architect designs and implements data solutions, overseeing model deployment and ensuring robust performance and integration within customer environments.

As a Principal Solution Architect, lead the design and implementation of cloud-native data solutions across AWS and Azure, manage technical teams, provide architectural guidance, and enhance customer data platforms through automation and optimization.