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About the Role

We're seeking an experienced AI Engineer to lead the design and implementation of AI-driven solutions within a complex enterprise environment. This is a strategic role requiring strong technical depth and the ability to influence architecture decisions at an enterprise level. You'll work closely with senior stakeholders to shape AI road maps and deliver impactful solutions.



Key Responsibilities:



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Consulting & Advisory:

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Assess and prepare data sources for AI readiness, including APIs.

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Provide strategic guidance on business process improvement using generative AI.

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Implementation & Integration:

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Deploy AI capabilities leveraging Microsoft technologies such as Copilot Studio (Lite & Full) and Azure AI Foundry.

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Integrate AI solutions into Dynamics 365 (D365) environments.

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Architecture & Strategy:

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Lead architecture discussions and create solution roadmaps from scratch.

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Ensure data readiness and security for AI applications, including cybersecurity considerations.

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Cross-Platform Expertise:

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Evaluate and incorporate AI offerings beyond Microsoft's ecosystem (AWS Bedrock, GCP).

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Explore model concept protocols and multi-cloud strategies



What We're Looking For

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Solid technical foundation with senior-level C# development experience.

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Strong understanding of AI architecture, data integration, and Azure AI Foundry.

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Ability to hold your own in architecture discussions and communicate complex ideas clearly.

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Experience in enterprise environments, ideally banking or large corporate settings.

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Familiarity with Dynamics 365, Copilot Studio, and generative AI applications.

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Bonus: Knowledge of AWS Bedrock, GCP, and data security best practices for AI.



Why This Role?

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Full-time allocation to a major enterprise AI initiative.

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Opportunity to influence strategic decisions and work on cutting-edge AI projects.

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Join a team that's ahead of the curve in implementing AI solutions at scale.