Architect scalable enterprise AI solutions with Accenture, integrating identity, data, security, governance, and multi-system workflows.

The role may require 25% to 75% travel.

As a Forward Deployed AI Engineer-Associate Manager, you will work embedded with client teams to make complex AI platforms operate in real environments.

Your focus includes production reliability, adoption velocity, scalability, and measurable time-to-value.

You will design end-to-end solutions using LLMs and services including OpenAI, Anthropic, and Gemini, integrated with SAP, Service

Now, Salesforce, data platforms, and internal systems.

Key Responsibilities: Govern enterprise AI architecture across the full technology stack
Integrate LLMs and AI services with enterprise platforms
Design APIs, orchestration, knowledge integration, and privacy controls




Translate ambiguous requirements into technically sound solutions
Codify engineering standards into reusable deployment blueprints
Requirements: Seven years engineering cloud-native systems, APIs, and microservices
Five years building distributed production systems and API integrations
One year experience with enterprise AI platforms
Experience defining identity, data, security, and governance architectures
Five years translating business needs into enterprise technical implementations
Bring cloud-native engineering, AI platform integration, and governance expertise to Accenture’s enterprise deployment architecture work.

📌 Enterprise AI Deployment Architect (Canada)
🏢 Important Group
📍 Canada