Forward Deployed Technical Consultant -Databricks
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Key skills for this role
About the Role
Accenture seeks a Forward Deployed Technical Consultant with deep expertise in building GenAI solutions on the Databricks Intelligence Platform. You will embed with clients to design and deploy agentic workflows, RAG systems, and production-grade AI applications.
Key Skills for This Role
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.
Requirements
- 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)
- 1 year experience in designing and shipping agentic AI solutions in production
- 5 years of experience in Python, Java, or equivalent
- 2 years’ experience in shipping to production: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging
- English required for multi national teams
Full Job Posting
About the Role
- The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey.
- 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.
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.
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.
Compensation
- 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.
- Role Location Annual Salary Range: British Columbia/Ontario CAD 90,850 to CAD 140,850
Workplace
- This role requires in office presence in the local ATC office 3 days per week.
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