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AI Prompt Engineer / AI Solutions Specialist

VeriiproChandler, AZMay 20th, 2026
Role Overview Seeking a skilled AI Prompt Engineer / AI Solutions Specialist with strong expertise in Microsoft Copilot Studio, Azure OpenAI, and Prompt Engineering to design and implement enterprise-grade Generative AI solutions for banking and financial services use cases. The role involves building scalable, secure, and compliant AI assistants leveraging frontier LLMs, RAG architectures, and enterprise integrations.Required Skills Strong hands-on experience with Microsoft Copilot Studio Experience with Azure OpenAI / OpenAI APIs Hands-on experience with GPT-4 class or equivalent LLMs Strong knowledge of Prompt Engineering frameworks and design patterns Experience with RAG architectures and vector search technologies Understanding of tokenization, context windows, and inference latency optimization Proficiency in Python for AI integration and automation Experience with REST APIs, JSON, and YAML Experience with Microsoft Azure cloud platform Knowledge of Responsible AI, AI governance, and model risk management Experience delivering enterprise copilots/chatbots at scalePreferred Experience Experience with Power Platform (Power Apps, Power Automate) Exposure to AI evaluation, monitoring, and observability tools Knowledge of AI ethics and BFSI regulatory standardsPrimary Responsibilities Design and optimize system, user, and tool prompts for frontier LLMs Apply prompt engineering techniques such as zero-shot, few-shot, and ReAct Build and deploy AI assistants using Microsoft Copilot Studio Implement RAG solutions using enterprise knowledge sources and vector search Optimize prompts for accuracy, latency, consistency, and cost efficiency Integrate AI solutions with enterprise APIs and workflows Implement Responsible AI controls, grounding, and hallucination reduction Ensure data privacy, PII masking, and access control compliance Collaborate with Risk, Legal, and Compliance teams for governance and audit readiness Document prompt frameworks, AI workflows, and operational standards