Ernst and Young

Prompt Engineer - Copilot Engineer/Studio

Ernst and Young
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3 months ago
Pune, IndiaMid Level / Senior

Responsibilities

  • Design, refine, and optimize system prompts, grounding instructions, response constraints, and other prompt patterns.
  • Engineer multi-turn conversational flows with role-based prompting, structured reasoning, RAG, guardrails, and hallucination-reduction patterns.
  • Build and configure Microsoft Copilot Studio agents using topics, triggers, entities, actions, plugins, variables, and orchestration logic.
  • Integrate agents with enterprise data sources, APIs, workflows, and assurance tools while following security and access-control standards.
  • Execute prompt validation, negative and edge-case testing, evaluation criteria, regression checks, and output-quality assessments.
  • Document prompt logic, assumptions, limitations, human-in-the-loop controls, and certification or engagement-readiness requirements.
  • Lead adoption and change through rollout plans, prompt playbooks, enablement materials, training, stakeholder communications, and feedback-driven iteration.

Requirements

  • Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, or a related field focused on AI-enabled product development and automation.
  • 4–7 years of overall engineering experience, including 2–3 years of generative AI experience.
  • Hands-on experience with prompt engineering for LLM-based systems and building solutions with Microsoft Copilot and/or Copilot Studio, Python, and LangGraph.
  • Understanding of LLM behavior, limitations, risks, evaluation techniques, prompt patterns, tool-use prompting, and interaction design.
  • Experience translating complex business or regulatory requirements into structured AI interactions, conversation flows, guardrails, and fallback patterns.
  • Experience orchestrating multi-step interactions and integrating enterprise-grade AI experiences with APIs, services, and grounded data.
  • Experience working in Agile delivery models with cross-functional global teams.
  • Preferred experience with RAG patterns, vector search, enterprise data grounding, Azure services, API-based integrations, AI governance, risk management, or model validation frameworks.
  • Strong communication, presentation, stakeholder management, documentation, analytical, problem-solving, and critical-thinking skills.

Benefits

  • Professional development and support for achieving personal and career potential.
  • Stretching and rewarding experiences with global, multidisciplinary teams and multinational clients.
  • Flexibility to devote time to professional and personal priorities.
  • Opportunity to work across EY’s global GDS Assurance Digital organization and contribute to strategic client outcomes.

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Ernst and Young

About Ernst and Young

10,000+ employees

Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.

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