A

Accenture

Advises businesses and runs their technology

Senior AI Lead: Databricks

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeCA$131.7k - CA$278.1k /yr

About the Job

Requirements

  • A bachelor's degree or completion of a college program in a related discipline is required.
  • At least 10 years of experience in Python, Java, or an equivalent language, with familiarity in evaluation tooling, logging, monitoring, and observability.
  • At least 4 years of experience deploying and operating production systems using continuous integration and continuous delivery, infrastructure as code, and observability tooling.
  • Practical MLOps and LLMOps experience covering continuous integration and delivery across the machine learning and large language model lifecycle, including model training, evaluation harnesses, model serving, monitoring, and prompt management.
  • At least 5 years of experience with Databricks and large-scale big data projects using Delta Lake, DLT, Apache Spark, and Unity Catalog.
  • Experience building API layers that expose data and AI/ML capabilities to enterprise systems.
  • At least 1 year of experience designing and shipping production agentic AI solutions, and experience with agentic orchestration tools such as LangGraph, CrewAI, AutoGen, or similar tools.
  • Hands-on experience with Databricks AI tooling including Mosaic AI, Vector Search, Model Serving, MLflow, and Unity Catalog governance.
  • Experience building retrieval-augmented generation and multi-agent systems on the Databricks Intelligence Platform.
  • Experience working with AI platforms including OpenAI, Claude, Vertex AI, and open-source models.
  • English proficiency is required for collaboration with multinational teams.

Responsibilities

  • Build, lead, and scale AI/ML professional services on the Databricks Intelligence Platform.
  • Develop executive relationships with VP-level and higher, CIO, and CDO stakeholders as a trusted advisor on complex AI transformations.
  • Align with technical and sales leaders on strategic accounts, and influence cross-functional work across product, research and development, and go-to-market teams.
  • Lead AI professional services initiatives, design reusable engagement models for global repeatability, own objectives and key results for AI-services-led accounts, and represent Databricks as a thought leader in AI/ML.
  • Embed directly with clients as both technologist and trusted advisor.
  • Partner with stakeholders to define use cases, rapidly prototype, and deploy robust, secure agentic workflows for complex enterprise domains.
  • Design enterprise-ready AI agents incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
  • Architect AI-native solutions on Databricks using Mosaic AI, Vector Search, Model Serving, and MLflow, with Unity Catalog governance, and scale reusable patterns across customer engagements.
  • Establish Lakehouse data foundations using Delta Lake, DLT, and Unity Catalog to power production AI across customer portfolios.
  • Develop abstraction layers across AI providers such as Anthropic, Google, and OpenAI to enable seamless integration.
  • Use containerization, microservices, serverless, and event-driven architectures to deliver scalable AI-native systems.
  • Tailor and deploy agentic applications across industries including 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 large language model solutions with APIs, model monitoring, and prompt management.
  • Operate MLOps and LLMOps pipelines with continuous integration and delivery across the machine learning and large language model lifecycle.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs