Senior AI Lead: Databricks
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Key skills for this role
About the Role
Accenture is seeking a Senior AI Native Lead to build, lead, and scale AI/ML professional services on the Databricks Intelligence Platform. You will design enterprise-ready AI agents, architect AI-native solutions, and establish data foundations, while acting as a trusted advisor to VP+ stakeholders.
Key Skills for This Role
Responsibilities
- Design enterprise ready AI agents encompassing retrieval, orchestration, policy based routing, tool invocation, evaluation harnesses, and lifecycle observability
- Architect AI native solutions on Databricks (Mosaic AI, Vector Search, Model Serving, MLflow) with Unity Catalog governance
- Establish Lakehouse data foundations (Delta Lake, DLT, Unity Catalog) that power production AI across customer portfolios
- Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration
- Leverage containerization, microservices, serverless, and event driven architectures to deliver scalable AI native systems
- 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
- 10 years of experience in Python, Java, or equivalent
- 4 years of experience deploying and operating production systems with CI/CD, infrastructure as code, and observability tooling
- 5 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 and experience with agentic orchestration tools (LangGraph, CrewAI, AutoGen, or similar)
- Experience working with AI platforms across OpenAI, Claude, Vertex AI, and open source models
- English required for multi national teams
Full Job Posting
Company Overview
- 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 clients with seamless access to industry insights and innovative technology solutions.
Role Overview
- You are a Senior AI Native Lead who builds, leads, and scales world class AI/ML professional services on the Databricks Intelligence Platform.
- You develop executive relationships with VP+, CIO, and CDO stakeholders as a trusted advisor on complex AI transformations.
Responsibilities
- Design enterprise ready AI agents encompassing retrieval, orchestration, policy based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Architect AI native solutions on Databricks (Mosaic AI, Vector Search, Model Serving, MLflow) with Unity Catalog governance, scaling reusable patterns across customer engagements.
- Establish Lakehouse data foundations (Delta Lake, DLT, Unity Catalog) that power production AI across customer portfolios.
- Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration.
- Leverage containerization, microservices, serverless, and event driven architectures to deliver scalable AI native systems.
- 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.
- 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.
- 4 years of experience deploying and operating production systems with CI/CD, infrastructure as code, and observability tooling. Practical MLOps and LLMOps experience.
- 5 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 and experience with agentic orchestration tools (LangGraph, CrewAI, AutoGen, or similar).
- Experience working with AI platforms across OpenAI, Claude, Vertex AI, and open source models.
- English is required for this position as this role will be aligned to multi national teams where English is the common language.
Workplace
- This role requires in office presence in the local ATC office 3 days per week.
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.
- The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.
- Role Location Annual Salary Range: British Columbia/Ontario CAD 131,700 to CAD 278,100.
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