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Accenture

Advises businesses and runs their technology

Senior AI Lead

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeCA$131.7k - CA$278.1k /yr

About the Job

Requirements

  • A bachelor's degree or completion of a college program in a related discipline is required.
  • At least 10 years of experience in Python, Java, or an equivalent language, with familiarity with evaluation tooling, logging, monitoring, and observability.
  • At least 5 years of experience with Snowflake AI Data Cloud and large-scale data projects, including Snowpark, Dynamic Tables, Streams and Tasks, and Snowsight; experience building API layers that expose data and AI/ML capabilities to enterprise systems is required.
  • At least 4 years of experience deploying and operating production systems with continuous integration and continuous delivery (CI/CD), infrastructure as code, and observability tooling.
  • Practical MLOps and LLMOps experience across CI/CD for the machine-learning and large-language-model lifecycle, including model training, evaluation harnesses, model serving, monitoring, and prompt management.
  • At least 1 year of experience designing and shipping production agentic AI solutions, using agentic orchestration tools such as LangGraph, CrewAI, AutoGen, or similar, and working hands-on with Snowflake Cortex AI, including Cortex Search, Cortex Analyst, and Cortex LLM functions; experience building retrieval-augmented generation (RAG) and multi-agent systems on Snowflake AI Data Cloud is required.
  • Experience working with AI platforms including OpenAI, Claude, Vertex AI, and open-source models.
  • English is required for frequent interaction with English-speaking multinational teams.

Responsibilities

  • Embed directly with clients as a technologist and trusted advisor; partner with stakeholders to define use cases, rapidly prototype, and deploy robust, secure agentic workflows in complex enterprise domains.
  • Architect enterprise-ready AI agent systems on Snowflake, including retrieval, orchestration, governance, evaluation, and lifecycle observability.
  • Architect scalable Snowflake solutions for enterprise data workloads and champion best practices across customer engagements.
  • Establish modern Snowflake architecture using Dynamic Tables, Streams, and Tasks, and use Snowsight for queries, dashboards, and operational visibility.
  • Architect generative AI patterns on Snowflake Cortex AI, including Cortex Search, Cortex Analyst, and Cortex LLM functions, so AI operates alongside the data.
  • Develop abstraction layers across AI providers, including Anthropic, Google, and OpenAI, for clean integration.
  • Use containerization, microservices, serverless, and event-driven architectures to build scalable AI-native systems.
  • Mentor client teams on Snowflake data management, analytics, AI/ML, and business intelligence integration.
  • Process large-scale data on Snowflake using SQL, Python, and modern data integration tooling.
  • Tailor agentic applications across industries; lead workshops and proofs of concept, and define metrics.
  • Build Snowflake-native pipelines using Cortex AI, Dynamic Tables, and the Snowflake data ecosystem.
  • Operate MLOps and LLMOps pipelines with CI/CD across the machine-learning and large-language-model lifecycle.
  • Work in the local ATC office three days per week.

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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