An AI Workflow Architect / Applied AI Lead with 6-10 years of experience on design, orchestrate, and govern complex AI-driven workflows. This role focuses on agentic systems, multi-step reasoning orchestration, prompt and system architecture, and quality control across AI-native platforms. The individual will play a critical role in translating research and analytical processes into robust, scalable, and evaluable AI workflows using platforms such as Copilot, GPT, Claude, Hebbia, and similar systems.

Key Responsibilities

• As a Microsoft Apps Solutions Architect, you will lead the design and delivery of enterprise-grade AI solutions using technologies such as Power Platform, Copilot Studio, Azure AI, and Microsoft 365.
• Design and implement end-to-end AI workflows that can scale, cover how systems think, make decisions, and execute tasks.
• Convert business and research requirements into practical AI-driven solutions, with transparent and client-friendly explanations.
• Define structured prompts, system instructions, and control logic to ensure consistent and reliable AI outputs.




• Build and standardize reusable components such as prompt libraries, workflow templates, and governance guidelines.
• Implement robust evaluation and validation frameworks, including test cases and benchmarks, to measure solution quality.
• Ensure accuracy and reliability using techniques like grounded data (RAG) and human review where needed.
• Make key architecture and platform decisions across AI tools and ecosystems, ensuring performance, scalability, and cost efficiency.
• Lead the transition of solutions from pilot to production, with a focus on monitoring, compliance, and operational stability.
• Collaborate closely with business stakeholders to ensure solutions are aligned to goals, easily adoptable, and deliver measurable impact.

Core Competencies
• Architect and deliver enterprise AI solutions using Microsoft Power Platform, Copilot Studio, Azure AI, and Microsoft 365.
• Design sec

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