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The Advanced Technology

Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, recent IT, and new 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.

A Forward Deployed Technical Consultant with strong experience building GenAI solutions and deep expertise in productionizing AI applications on the Databricks Intelligence Platform. You thrive in customer-facing complexity and deliver outcomes by applying the latest techniques from Mosaic AI Research, designing RAG and multi-agent systems with HuggingFace, LangChain, and DSPy, and shipping production-grade GenAI at scale on AWS, Azure, or GCP. Design enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.

Build RAG and multi-agent systems on Databricks using Mosaic AI, Vector Search, Model Serving, and MLflow; govern data and models through Unity Catalog. Develop data and feature foundations on the Lakehouse (Delta Lake, DLT, Unity Catalog) that feed production AI applications. Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark™.





Operate MLOps / LLMOps pipelines with CI/CD across the ML and LLM lifecycle. This role requires in-office presence in the local ATC office 3 days per week. Bachelor’s degree or completion of a college program in a related discipline ~3 years of experience on Databricks and large-scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog).

You've also built API layers that expose data and AI/ML capabilities to enterprise systems. ~1 year experience in designing and shipping agentic AI solutions in production. ~1 year experience in shipping agentic solutions in production (agents, orchestration, context engineering, RAG, workflows) using AI platforms (OpenAI, Claude, Vertex AI, open-source) and Databricks AI tooling (Mosaic AI, Vector Search, Model Serving, MLflow). ~5 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability. ~2 years’ experience in shipping to production: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. Practical MLOps and LLMOps experience across the ML and LLM lifecycle (model training, serving, monitoring, prompt management).

English is required for this position as this role will be aligned to multi-national teams where English is the common language across our Global Enterprise. Due to the significant high volume of interactions with these English-speaking multi-national teams, 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, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.

📌 Forward Deployed Technical Consultant -Databricks (Mississauga)
🏢 Urban Ridge Supplies
📍 Mississauga