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Ernst & Young

Global professional services: consulting, assurance, tax

AI Execution Analyst and Reporting Lead

AI Application EngineeringUpdated on Nov 14
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in software, automation, or data engineering, including significant time as a senior individual contributor with technical ownership of systems in production.
  • Demonstrable experience building production solutions with Claude, including Claude Code and the Claude Agent SDK.
  • Experience designing agentic workflows that complete an end-to-end task.
  • Practical prompt and context engineering, including testing that model output is reliable and repeatable.
  • Strong Python, including automation of document and data workflows with libraries such as python-pptx, python-docx, openpyxl, and pandas, or equivalent tools.
  • Microsoft platform experience with Power Apps, Power BI, Dataverse, Copilot Studio, and Microsoft Graph.
  • Production experience with a major enterprise workflow automation platform such as Power Automate, including error handling and unattended runs.
  • A track record of automating a recurring operational or reporting process end to end, with demonstrable outcomes.
  • Experience building unattended systems that run reliably, including error handling, credential management, logging, alerting, and scheduling.
  • Experience working with large datasets drawn from multiple systems, including reconciling them and assessing whether the data supports the conclusions being drawn from it.
  • Experience setting technical standards that other people build to, through review, shared components, or documented patterns.
  • A degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent work experience.
  • Strong English language communication skills and the ability to work with diverse, globally distributed teams.
  • Proven technical authority in AI engineering, built on agents and automation in production that other people depend on.
  • Ability to judge where AI is the right tool, where a conventional solution is better, and what should remain manual.
  • Understanding of the limitations of AI models and the ability to design verification appropriate to those limitations.
  • Strong analytical skills, with the ability to validate the accuracy of reporting relied on by senior leadership.
  • Ability to build relationships with senior stakeholders.
  • Ability to explain technical trade-offs and their business implications to a non-technical audience.
  • Ability to work independently and set technical priorities in a large program.
  • Ability to work well with others and raise the AI engineering capability of colleagues.
  • Strong organizational skills and the ability to deliver against fixed reporting deadlines.
  • Ability to maintain a high level of integrity, trustworthiness, and confidence when handling confidential information.

Responsibilities

  • Design, build, and operate AI agents and automation that produce the program’s recurring reporting, using Claude and Claude Code integrated with enterprise systems.
  • Own the program’s AI and automation roadmap, prioritizing work according to the effort it saves and the risk it reduces.
  • Guide teams across Technology Assurance, Risk and Policy on where and how to apply AI and agentic AI within the function’s services and processes, including which activities are suited to AI and the approach to take.
  • Establish practices that allow AI to be adopted consistently and safely across the function, and support teams in applying them.
  • Establish how AI output is verified, including reconciliation and checks against source data on every run, and define when an agent must stop and escalate rather than continue.
  • Set program standards for AI use, including how work is scoped to an agent, prompt and context engineering, repeatability testing, documentation, and handling sensitive data.
  • Advise program leadership on where AI is appropriate, where a conventional solution is preferable, and the cost, risk, and effort involved.
  • Evaluate developments in AI tooling and models and introduce those of value to the program.
  • Build resilient, supportable automation with error handling, secure credential management, logging, and alerting; maintain it in version control and document it so others can support it.
  • Work with IT and Information Security to secure approval, connectivity, and ongoing support for AI tooling, and build within firm policy on AI use, data classification, and client confidentiality.
  • Represent the program’s AI and automation position to senior stakeholders and governance forums.
  • Develop AI engineering capability across the program through reusable components, documented patterns, and practical working sessions.

Desired Qualifications

  • Experience integrating AI tooling with enterprise systems and data sources.
  • Experience introducing AI tooling into a governed enterprise environment, including its approval and assurance path.
  • Experience evaluating models or agent frameworks and making an adoption recommendation.
  • Experience delivering security, technology risk, or audit reporting to a senior audience.
  • Familiarity with vulnerability management data and tooling.
  • Experience coaching or building technical capability in colleagues who are not engineers.
  • Relevant certification in cloud, data, or security engineering.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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