Senior AI Lead: Databricks

We are: 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! The Advanced Technology Centers (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. The value for our clients and our people: 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 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, align with Technical and Sales Leaders on strategic accounts, and shape cross-functional influence across Product, R&D, and GTM. You lead AI PS initiatives, design reusable engagement models for global repeatability, own OKRs for AI-services led accounts, and represent Databricks as a thought leader in AI/ML. 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. • 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. 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 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: CI/CD across the ML and LLM lifecycle covering model training, evaluation harnesses, model serving, monitoring, and prompt