You Are: A Forward Deployed Engineer with strong experience building data engineering workloads on the Snowflake AI Data Cloud. You partner closely with clients to design, build, and implement modern data solutions on Snowflake, ensuring data quality, performance, and cost-e iciency, and you act as a trusted technical advisor helping customers harness their data, drive insights, and power AI initiatives. 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 and engineer enterprise-ready AI agents: retrieval, orchestration, tool invocation, evaluation harnesses. • Build Snowflake data pipelines with Dynamic Tables, Streams, and Tasks; use Snowsight UI for query authoring, dashboards, and operational visibility. • Build GenAI capabilities into Snowflake workloads with Cortex AI (Cortex Search, Cortex Analyst, Cortex LLM functions). • Optimize data models, queries, and processing workflows on Snowflake for performance and cost. • Process large-scale data on Snowflake with SQL, Python, and the Spark ecosystem. • Tailor and deploy agentic applications across finance, healthcare, and retail; conduct workshops, PoCs, and code-with sessions with clients. • Define and use metrics for agent accuracy, latency, safety, and cost. • Build Snowflake-native pipelines using Cortex AI, Dynamic Tables, and the Snowflake data ecosystem. • Operate MLOps / LLMOps pipelines with CI/CD across the ML and LLM lifecycle. This is a hybrid role in Dallas, TX and requires 3 days per week in the office. May consider qualified applicants in Columbus, OH; Tampa, FL; Atlanta, GA; Houston, TX. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. Here's What You Need: • Minimum 4 years of engineering experience on the Snowflake AI Data Cloud and large-scale data projects (Snowpark, Dynamic Tables, Streams & Tasks, Snowsight). You’ve also built API layers that expose data and AI/ML capabilities to enterprise systems. • Minimum 4 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability. • Minimum 4 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). • Minimum 1 year experience in designing and shipping agentic AI solutions in production. • Minimum 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 Snowflake Cortex AI (Cortex Search, Cortex Analyst, Cortex LLM functions). 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. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 06/30/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: Role Location Annual Salary Range California $73,800 to $261,500 Cleveland $68,300 to $209,200 Colorado $73,800 to $225,900 District of Columbia $78,500 to $240,600 Illinois $68,300 to $225,900 Maryland $73,800 to $225,900 Massachusetts $73,800 to $240,600 Minnesota $73,800 to $225,900 New York $68,300 to $261,500 New Jersey $78,500 to $261,500 Washington $80,200 to $240,600