Hybrid AI/ML Architect — Enterprise LLM & Agent Systems

Accenture; Montreal (administrative region); Hybrid; CAD 109,000 - 220,000; Full time

Job summary

Accenture seeks an AI/ML Architect to design, build, and operationalize AI agents, data pipelines, and ML solutions in regulated environments across cloud platforms.

You will embed with clients to stand up custom agent frameworks across AWS, Azure, and GCP, collaborate with stakeholders to define use cases, prototype agentic workflows, and ship production-ready agents that operate reliably. English communication is required for interaction with stakeholders across Canada, the US, and beyond.

Qualifications

• Bachelor’s degree or college program in a related discipline.
• 2+ years designing and implementing scaled Agentic AI and Generative AI solutions in production.
• 2+ years designing platforms/frameworks used by multiple AI solutions.
• 2+ years building AI/ML solutions on major public clouds using cloud-native services.
• 2+ years with AI tech from public clouds, open source, and 3rd party tools.
• 5+ years Python/Java or equivalent; strong in evaluation tooling, logging and observability.

Responsibilities

• Design AI agents with retrieval, orchestration, tool invocation, evaluation harnesses and observability.
• Build LLM and agentic systems with function-calling and orchestration in production.
• Implement RAG patterns with vector databases and optimize embeddings.
• Train and deploy ML models using PyTorch, TensorFlow, MLflow, SageMaker, Azure ML or Kubeflow.
• Stand up custom agent frameworks across providers and design supporting production architecture.
• Integrate AI agents with enterprise APIs and CI/CD on cloud providers.
• Apply Responsible AI controls in regulated industries.
• Run MLOps/LLMOps pipelines across ML/LLM lifecycle.

Skills

Python

Java

LLM

Agentic AI

MLOps/LLMOps

Education

Bachelor’s degree or equivalent in related discipline

Tools

OpenAI

Claude

Vertex AI

LangGraph

CrewAI

AutoGen

Job description

Accenture seeks an AI/ML Architect to design, build, and operationalize AI agents, data pipelines, and ML solutions in regulated environments across cloud platforms.

You will embed with clients to stand up custom agent frameworks across AWS, Azure, and GCP, collaborate with stakeholders to define use cases, prototype agentic workflows, and ship production-ready agents that operate reliably. English communication is required for interaction with stakeholders across Canada, the US, and beyond.