Sr. AI Engineer - Forward Deployed Engineer Senior Manager· Databricks · Reinvention Centers

Job Overview A Senior AI Native Engineer who builds, leads, and scales world‑class AI/ML professional services on the Databricks Intelligence Platform. The role develops executive relationships with VP+, CIO, and CDO stakeholders as a trusted advisor on complex AI transformations, aligns with Field Engineering and Sales Leaders on strategic accounts, and shapes cross‑functional influence across Product, R&D, and GTM. The engineer leads AI PS initiatives, designs reusable engagement models for global repeatability, owns OKRs for AI‑services led accounts, and represents Databricks as a thought leader in AI/ML. The Work Embed directly with clients as both technologist and trusted advisor. 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 and engineer 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. Qualifications and Experience Minimum 10 years of experience on Databricks and large‑scale big data projects (Delta Lake, DLT, Apache Spark, Unity Catalog). Built API layers that expose data and AI/ML capabilities to enterprise systems. Minimum 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability. Minimum 10 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 management. Minimum 1 year experience in designing and shipping agentic AI solutions in production. Minimum 1 year of experience with agentic orchestration tools (LangGraph, CrewAI, AutoGen, or similar). Hands‑on with Databricks AI tooling: Mosaic AI, Vector Search, Model Serving, MLflow, and Unity Catalog governance. Built RAG and multi‑agent systems on the Databricks Intelligence Platform. Minimum 1 year experience working with AI platforms across OpenAI, Claude, Vertex AI, and open‑source models. Bachelor’s degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) Location and Travel This is a hybrid role in Dallas, TX and requires 4 days per week in the office. May consider qualified applicants in Columbus, OH; Tampa, FL; Atlanta, GA; Houston, TX. Travel may be required: 25% to 75% depending on business need and client requirements. Compensation and Benefits Compensation 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. Positions may be posted until 06/30/2026. Benefits include medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. For more information on our benefits, see the benefits overview. Equal Employment Opportunity Statement Accenture is an EEO and affirmative action employer of Veterans/Individuals with Disabilities. 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