2 days ago
Mississauga, Canada or Montréal, CanadaMid Level
Responsibilities
- Formulate business problems into practical, scalable AI and machine learning solutions.
- Architect and maintain governed Snowflake AI Data Cloud environments, including compute optimization, warehouse sizing, and cost management.
- Build ELT/ETL, batch, streaming, CDC, and event-driven ingestion frameworks using Snowflake-native technologies.
- Develop reusable AI-ready data products with semantic context, data quality SLAs, ownership, and lineage tracking.
- Design multi-step agentic AI workflows using Snowflake Cortex Agents, Cortex AI Functions, Cortex Search, and Cortex Analyst.
- Build production-grade RAG pipelines with vector, semantic, and hybrid search over governed Snowflake datasets.
- Integrate AI agents with enterprise systems through MCP connectors, REST APIs, and event-driven messaging.
- Implement prompt engineering, tool-use orchestration, LLMOps evaluation frameworks, and production monitoring.
- Apply agentic automation to anomaly detection, data quality remediation, query diagnosis, documentation generation, and incident summarization.
- Build semantic data models for Cortex Analyst and business intelligence tools.
- Research and apply AI, high-performance computing, algorithms, models, and simulations to client business problems.
- Collaborate with business and technical stakeholders to integrate solutions into production.
Requirements
- Bachelor's degree or completion of a college program in computer science or a related field.
- At least 3 years of experience with Snowflake-native features including Snowpark Python, Dynamic Tables, Streams and Tasks, Snowpipe, Cortex AI, and performance tuning.
- At least 3 years of experience with Python, data pipelining, machine learning workloads, and advanced SQL.
- Experience with data modeling methodologies and dbt for transformation-layer management.
- Familiarity with at least one major cloud platform—AWS, Azure, or GCP—and related object storage, IAM, networking, and managed compute services.
- At least 3 years of experience applying computer science foundations, computer system architecture, and programming.
- At least 1 year of experience with distributed computing systems and architectures.
- At least 1 year of experience building and deploying AI/ML software to a cloud environment.
- English proficiency for frequent interaction with stakeholders across Canada, the United States, and other countries.
- Preferred qualifications include TensorFlow or PyTorch experience, vector database experience, Snowflake certification or Cortex AI credentials, MLOps tooling experience, MCP familiarity, streaming technology experience, and strong client-facing communication skills.
Benefits
- Hybrid work arrangement in Mississauga or Montreal, requiring 3 days per week in the office or client location.
- Benefits information is provided through Accenture's careers benefits page.
- Full-time employment with compensation presented as annual and hourly salary ranges.
Tech Stack
Categories
Forward Deployed
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.