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Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and current technology skills. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

An AI/ML Architect with strong engineering skills and expertise in LLM and agentic architecture. You design, build, and operationalize AI agents, data pipelines, and ML solutions that run reliably in regulated enterprise environments. You embed with clients to stand up custom AI agent frameworks across cloud providers (Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder) and the Anthropic Claude Agent SDK.

You partner with stakeholders to define use cases, prototype agentic workflows, and ship production-ready agents that operate reliably. Design AI agents with retrieval, orchestration, tool invocation, evaluation harnesses, and lifecycle observability. Implement RAG patterns with vector databases (FAISS, Pinecone, Chroma, Milvus) and tune embeddings for retrieval quality.

Train and deploy ML models with PyTorch, TensorFlow, MLflow, SageMaker, Azure ML, or Kubeflow. Stand up custom agent frameworks across providers (Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder, Anthropic Claude Agent SDK); design the supporting architecture fo production. Integrate AI agents with enterprise APIs, microservices,



and workflow systems; ship via CI/CD on Azure, AWS, or GCP.

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Responsible AI controls (fairness, bias detection, safety filters) in regulated industries. Run MLOps / LLMOps pipelines for model training, deployment, monitoring, and lifecycle. This is a hybrid role in Mississauga/Montreal and requires 3 days per week in the office Bachelor’s degree or completion of a college program in a related discipline ~2 years’ experience in designing and implementing scaled Agentic AI and Generative AI solutions that are in operations. ~2 years’ experience in designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions. ~2 years’ experience in designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud, using cloud-native AI services and frameworks, open-source technologies, and 3rd party tools. ~2 years of experience with key AI technologies from public cloud providers, open source, and 3rd party tooling. ~5 years of experience in Python, Java, or equivalent.

Comfortable with evaluation tooling, logging, monitoring, and observability. ~2 years of hands‑on experience with AI platforms (OpenAI, Claude, Vertex AI, open source), agentic orchestration tools (LangGraph, CrewAI, AutoGen), and MLOps/LLMOps practices across the ML and LLM lifecycle. English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement. #Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, As required by local law, Accenture provides a reasonable range of compensation, based on full-time

📌 AI/ML Architect-Accenture Advanced Technology Centers (Mississauga)
🏢 Accenture
📍 Mississauga