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Lead the design and delivery of production AI systems, manage engagements, architect systems, and communicate with stakeholders.

Lead and deliver enterprise consulting engagements as the primary client advisor. Manage project scope, timelines, budgets, resources, and executive communications. Drive business development, oversee financial performance and forecasting, mitigate risks, and ensure client satisfaction while contributing to consulting methodologies and supporting strategic transformation initiatives.

The AI Architect will design and deliver AI systems for clients, engage with stakeholders, and innovate using Microsoft, OpenAI, and Anthropic platforms. Responsibilities include architecture ownership, stakeholder communication, and contributing to internal knowledge.

As an AI Engineer, you will build and deploy AI solutions with Microsoft technologies, support intelligent agents, and collaborate on data workflows.

The Azure Engineer will design, implement, and manage Azure solutions, ensuring security and optimizing performance while deploying infrastructure services and applications using DevOps practices.