You Are

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.

The Work

You will embed directly with clients as both technologist and trusted advisor. You will partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.

Responsibilities

• 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.

• Tailor and deploy agentic applications across industries such as finance, healthcare, and retail.

• Conduct design workshops, proofs of concept, and code-with sessions with client stakeholders.

• Define and use metrics to measure agent accuracy, latency, safety, and cost effectiveness.

• Process large-scale distributed datasets on the Databricks Intelligence Platform with Apache Spark™.

• Integrate LLM solutions with APIs, model monitoring, and prompt management.

• 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.

Here's What You Need:

• 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.

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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.

The recruiting efforts for this position are intended to fill a brand-new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

Role Location                                                           Annual Salary Range

British Columbia/Ontario/New Brunswick          $90,850 to $140,850