Sr. AI Engineer - Forward Deployed Engineer · Snowflake · Reinvention Centers

Responsibilities

• Architect enterprise-ready AI agent systems on Snowflake: retrieval, orchestration, governance, evaluation, lifecycle observability.
• Architect scalable Snowflake solutions for enterprise data workloads; champion best practices across customer engagements.
• Establish modern Snowflake architectures with Dynamic Tables, Streams, and Tasks; navigate Snowsight UI for query, dashboards, and operational visibility.
• Architect GenAI patterns on Snowflake Cortex AI (Cortex Search, Cortex Analyst, Cortex LLM functions) so AI lives next to the data.
• Develop abstraction layers across AI providers (Anthropic, Google, OpenAI) for clean integration.
• Leverage containerization, microservices, serverless, and event-driven architectures for scalable AI native systems.
• Mentor client teams on Snowflake: data management, analytics, AI/ML, and BI integration.
• Process large-scale data on Snowflake with SQL, Python, and modern data integration tooling.
• Tailor agentic applications across industries; lead workshops, PoCs, and metric definition.
• 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.

• Minimum of 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.
• Minimum of 10 years of experience deploying and operating production systems with CI/CD, infrastructure as code, and observability tooling. Practical MLOps and LLMOps experience covering model training, evaluation harnesses, model serving, monitoring, and prompt management.
• Minimum of 5 years of experience on the Snowflake AI Data Cloud and large-scale data projects (Snowpark, Dynamic Tables, Streams & Tasks, Snowsight). Built API layers that expose data and AI/ML capabilities to enterprise systems.
• Minimum of 1 year experience in designing and shipping agentic AI solutions in production.
• Minimum of 1 year of experience with agentic orchestration tools (Lang Graph, CrewAI, Auto Gen, or similar). Hands‑on with Snowflake Cortex AI:
  Cortex Search, Cortex Analyst, Cortex LLM functions. Built RAG and multi‑agent systems on the Snowflake AI Data Cloud.
• Minimum of 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).

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Compensation at Accenture varies depending on factors such as location, role, skill set, and level of experience.

Accenture offers a 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.

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