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), Generative AI, Virtual Agents
Valuable to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Pod 6 — Security, Governance & Policy Reports to: Senior Security Engineer (Pod 6 Tech Lead) Experience: 7–10 years Location: Bangalore / US (flexible)

Roles & Responsibilities:
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.
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

Qualified & Technical Skills:
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.

15 years full time education

📌 Large Language Model Architect Bengaluru
🏢 Accenture
📍 Bengaluru