AI Prompt Engineer

Job DescriptionMust Have Technical/Functional SkillsObjective of Role: We are seeking a highly skilled Prompt Engineering & AI Solutions Specialist to design, develop, and optimize enterprise-grade AI solutions using frontier large language models (LLMs). The ideal candidate will have hands-on experience with Microsoft Copilot Studio, Azure OpenAI, and advanced prompt engineering techniques to build secure, scalable, and compliant AI-powered assistants and workflows for banking and financial services use cases. This role will work closely with product owners, architects, risk/compliance teams, and business stakeholders to operationalize Generative AI across infrastructure, operations, and business functions.Primary SkillStrong hands-on experience with Microsoft Copilot Studio.Proven experience using Azure OpenAI / OpenAI APIs.Practical experience with frontier LLMs (GPT 4 class or equivalent).Solid understanding of prompt engineering frameworks and design patterns.Hands-on experience with RAG architectures and vector search technologies.Strong knowledge of tokenization, context windows, and inference latency tradeoffs.Proficiency in Python for AI integration and automation.Experience working with REST APIs, JSON, and YAML.Experience with cloud platforms, preferably Microsoft Azure.Familiarity with AI governance, Responsible AI, and model risk management.Prior experience delivering enterprise copilots or chatbots at scale.Secondary / Nice to Have SkillsExperience with Power Platform (Power Apps, Power Automate).Exposure to model evaluation, monitoring, and AI observability tools.Knowledge of AI ethics and regulatory expectations in BFSI environments.Experience: Minimum 6+ yearsRoles & ResponsibilitiesDesign, test, and refine advanced system, user, and tool prompts for frontier LLMs (GPT 4/4.1 class).Apply prompt engineering patterns including few shot, zero shot, ReAct, and controlled chain of thought.Implement Retrieval Augmented Generation (RAG) using vector search and enterprise knowledge sources.Continuously optimize prompts for accuracy, consistency, latency, and cost efficiency.Build and deploy AI assistants using Microsoft Copilot Studio.Integrate copilots with enterprise APIs, workflows, and data sources.Implement responsible AI controls including content filtering, grounding, and hallucination reduction.Enforce data privacy, PII masking, and access control in AI workflows.Collaborate with Risk, Legal, and Compliance teams to meet regulatory and audit requirements.Support model governance, SDLC compliance, and production readiness reviews.Document prompt frameworks, AI workflows, and operational standards.