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Accenture

Advises businesses and runs their technology

AI/ML Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$108.8k - $220.4k /yr

About the Job

Requirements

  • A bachelor's degree or completion of a college program in a related discipline is required.
  • At least 2 years of experience designing and implementing scaled Agentic AI and Generative AI solutions in operations is required.
  • At least 2 years of experience designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions is required.
  • At least 2 years of experience 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 third-party tools is required.
  • At least 2 years of experience with key AI technologies from public cloud providers, open source, and third-party tooling is required.
  • At least 5 years of experience in Python, Java, or an equivalent language is required, along with comfort using evaluation tooling, logging, monitoring, and observability.
  • At least 2 years of hands-on experience with AI platforms such as OpenAI, Claude, Vertex AI, or open source; agentic orchestration tools such as LangGraph, CrewAI, or AutoGen; and MLOps/LLMOps practices across the ML and LLM lifecycle is required.
  • English is required for regular interaction with English-speaking stakeholders across Canada, the United States, and other countries. The posting states that the work cannot be reorganized to avoid this requirement.

Responsibilities

  • Design AI agents with retrieval, orchestration, tool invocation, evaluation harnesses, and lifecycle observability.
  • Build LLM and agentic systems with function-calling, prompt engineering, and agent orchestration in production.
  • Implement retrieval-augmented generation patterns with vector databases such as FAISS, Pinecone, Chroma, and Milvus, and tune embeddings for retrieval quality.
  • Train and deploy machine learning models with PyTorch, TensorFlow, MLflow, SageMaker, Azure ML, or Kubeflow.
  • Establish custom agent frameworks across providers, including Amazon Bedrock AgentCore, Azure AI Foundry, Google Vertex AI Agent Builder, and Anthropic Claude Agent SDK, and design the supporting architecture for production.
  • Integrate AI agents with enterprise APIs, microservices, and workflow systems; deploy through CI/CD on Azure, AWS, or GCP.
  • Apply Responsible AI controls, including fairness, bias detection, and safety filters, in regulated industries.
  • Run MLOps/LLMOps pipelines for model training, deployment, monitoring, and lifecycle.
  • Embed with clients to establish custom AI agent frameworks across cloud providers and the Anthropic Claude Agent SDK.
  • Partner with stakeholders to define use cases, prototype agentic workflows, and deliver production-ready agents that operate reliably.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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