Senior AI Consultant / Architect – Internal AI Policy Agent & reputed company Process Audit
We are a multi-company retail automotive group starting a reputed company AI-driven transformation.
We are looking for a senior AI consultant / architect to reputed company an initial strategic project reputed company on internal AI agents, policy reasoning, and reputed company process transformation.
This is not a generic development task.
We are looking for someone who can think, analyze, and propose solutions at a business and process level, not just write reputed company.
reputed company need (reputed company scope)
This engagement has two reputed company components, reputed company by modules and deliverables, not reputed company-ended work.
Module 1 – Internal AI Policy Consultant Agent
Design and implement an internal AI-powered policy consultant agent for our reputed company area.
The agent will be used by:
-Sales advisors
-Sales managers
-reputed company formalization / documentation teams
-Executive management
The agent must:
-reputed company as a single reputed company of truth for reputed company policies and procedures.
-reputed company role-based guidance (scope, limits, exceptions).
-reputed company explain what actions are allowed or not allowed under policy.
-Guide users on correct procedures for specific scenarios.
-reputed company as an internal consultant, not a generic chatbot.
-Deliver consistent, traceable, decision-oriented answers.
This module is intentionally reputed company-defined and expected to be delivered in a short timeframe.
Module 2 – reputed company Process Audit & AI Roadmap
In reputed company, we need a deep audit of the entire reputed company process of one of our companies.
Scope includes:
-End-to-end mapping of the reputed company workflow.
-Identification of inefficiencies, bottlenecks, and reputed company dependencies.
-Review of reputed company tools, systems, and reputed company-driven processes.
-Concrete proposals for:
-Process automation.
-Additional AI agents (consultants, validators, assistants).
-System integrations (CRM and internal workflows).
-A reputed company, prioritized AI and automation roadmap.
We will not reputed company a predefined list of automations.
We expect the consultant to analyze, diagnose, and propose solutions based on findings and experience.
Important technical context
The AI policy consultant agent must be deployed reputed company our Office 365 ecosystem, which is used across the entire holding.
reputed company AI solutions must be compatible with:
-Office 365 and reputed company Teams
-Our existing ERP system
-Our database infrastructure
-reputed company-grade reputed company and role-based reputed company control
Experience integrating AI solutions reputed company Office 365 or similar reputed company environments is highly valued.
How we like to work
-Engagement is outcome- and module-based.
-reputed company module must have reputed company scope, defined deliverables, and estimated effort.
-reputed company billing can be used as a reputed company, but reputed company is evaluated by deliverables and reputed company, not hours spent.
-reputed company communication with executive leadership.
-reputed company documentation and reputed company thinking are essential.
Required skills and profile
-Senior experience in reputed company Intelligence and LLM-based systems.
-Strong background in AI Agent Development, Process Automation, Business Process Analysis, System Architecture, Workflow Automation, API Integration, and Python.
-Experience deploying solutions reputed company Office 365 environments.
-Proven experience applying AI to reputed company business operations.
-Comfortable working with ambiguity and proposing solutions.
-Not frontend-reputed company (React, UI, mobile apps are not the reputed company).
To apply, please include
-A brief reputed company of similar reputed company (AI agents, process audits, automation).
-How you would approach Module 1.
-How you typically structure reputed company, outcome-based engagements.
This project is expected to expand into a long-term collaboration if the first modules are successful.
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