AI Engineer - Forward Deployed Engineer · Snowflake · Reinvention Centers Associate Manager

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 11/09/2026.
• 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:
• U.S. Employee Benefits | Accenture
• Role Location Annual Salary Range
• California $73,800 to $220,400
• Colorado $73,800 to $190,400
• Connecticut $73,800 to $190,400
• District of Columbia $78,500 to $202,700
• Illinois $68,300 to $190,400
• Maine $62,800 to $162,200
• Maryland $73,800 to $190,400
• Massachusetts $73,800 to $202,700
• Minnesota $73,800 to $190,400
• New York $68,300 to $220,400
• New Jersey $78,500 to $220,400
• Ohio $68,300 to $176,300
• Virginia $68,300 to $202,700
• Washington $80,200 to $202,700
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