Forward Deployed Technical Consultant -Databricks

Accenture; Montreal (administrative region); On-site; CAD 90,850 - 140,850; Full time

Job summary

Accenture in Canada seeks a Forward Deployed Technical Consultant with strong GenAI productionizing experience on the Databricks platform. You will embed with clients as technologist and trusted advisor, designing agentic AI workflows, implementing RAG and multi‑agent systems, and delivering production‑grade AI at scale across cloud providers.

English is required for collaboration with multinational teams; role demands in‑office presence 3 days per week at the local ATC.

Qualifications

• 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).

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.

Skills

Python

Java

CI/CD

MLOps

LLMOps

Distributed systems

Education

Bachelor’s degree

Tools

Databricks

Mosaic AI

Vector Search

MLflow

OpenAI

Claude

Vertex AI

Terraform

Helm

Unity Catalog

Delta Lake

DLT

Apache Spark

Model Serving

Job description

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions. Stronger together!

ATCs make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. 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. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

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, this requirement cannot be avoided.

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.

Benefits

• Role location and annual salary range: British Columbia/Ontario – $90,850 to $140,850.