BENGALURU · FULLTIME
AI Execution Analyst and Reporting Lead
Ernst Young
Bengaluru · onsite · Posted 2d ago
Sourced from
Undisclosed10–15 yrsfulltimeBengaluru
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Section · 01
About this role
This is a hands-on engineering position at a senior technical grade, with authority across the program and no direct reports. The position runs and builds AI agents and automation using Claude alongside Python, Power Automate, and the Microsoft platform, and determines what work is given to an agent, how agent output is verified, and what remains with people.
As an Associate Director in Information Security, this position leads the application of AI engineering within a global technology program, working closely with program leadership, workstream leads and technologists from across the globe. The position is responsible for the AI agents and automation that produce the programs reporting to senior leadership and to regional teams, and for the technical standards that govern how the program builds with AI.
This position also serves as the AI leader for Technology Assurance, Risk and Policy, guiding teams across the function on where and how to apply AI and agentic AI within our services and processes. This includes identifying which assurance, risk and policy activities are suited to AI, advising teams on the approach to take, and establishing the practices that allow AI to be adopted consistently and safely across the function.
Areas of focus
- AI Engineering: Building agentic workflows in Claude that complete an entire piece of work, from reading source data through to producing the finished output.
- Functional AI Leadership: Acting as the AI leader for Technology Assurance, Risk and Policy, guiding teams on where and how to apply AI and agentic AI within the functions services and processes.
- Automation Delivery: Owning a program's automation estate, including what is automated, how it is built, and how it is supported over time.
- Assurance of AI Output: Accountability for reporting that is accurate, reconciled and defensible, with verification of agent output built into the systems that produce it.
- AI Standards and Capability: Setting the technical direction and standards for how the program builds with AI, and developing engineering capability across the program.
Key responsibilities
- Design, build and operate the AI agents and automation that produce the program's recurring reporting, using Claude and Claude Code, integrated with the enterprise systems.
- Own the AI and automation roadmap for the program, 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 the 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 the conditions under which an agent must stop and escalate rather than continue.
- Set the standards the program builds to for AI use, covering how work is scoped to an agent, prompt and context engineering, testing for repeatability, documentation and the handling of sensitive data.
- Advise program leadership on where AI is appropriate, including where a conventional solution is the better answer, and on the cost, risk and effort involved.
- Evaluate developments in AI tooling and models and introduce what is of value to the program.
- Build automation that is resilient and supportable, with error handling, secure credential management, logging and alerting, held in version control and documented so that it can be maintained by others.
- 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.
Skills and attributes for success
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
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Section · 02
Skills
AutomationSDKAuditingConsultingworkflowPythonApplication SecurityInformation SecurityComputer ScienceMicrosoft
Section · Company
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
Avg at Ernst & Young
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