Project Role : Large Language Model Architect

Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.

Must have skills : Large Language Models (LLMs), Virtual Agents, Generative AI

Good to have skills : NA

Minimum 7.5 year(s) of experience is required

Educational Qualification : 15 years full time education Summary:

Pod: Pod 6 — Security, Governance & Policy

Reports to: Senior Security Engineer (Pod 6 Tech Lead)

Experience: 7–10 years

Location: Bangalore / US (flexible) ROLE OVERVIEW: The Governance Engineer builds the systems that make the platform's governance model operational rather than aspirational. Audit logs, approval workflows, policy-as-code frameworks, and compliance reporting are engineering deliverables that you own. Roles & Responsibilities:





Design and build the platform audit log infrastructure — structured, immutable record of every agent invocation, tool call, context access

Build the approval workflow engine for tool invocations requiring human review

Implement the policy-as-code framework

Build compliance reporting tooling — dashboards and exports for CISO, risk, and corporate function leads

Partner with Senior Security Engineer on data classification enforcement model

Work with compliance engineer to translate regulatory requirements into governance system specifications IDEAL PROFILE:

Has built audit logging, workflow, or policy enforcement systems in production has enough understanding of compliance and regulatory requirements has solid software engineering fundamentals has designed workflow or state machine systems.

📌 Large Language Model Architect (Bengaluru)
🏢 Accenture
📍 Bengaluru