Senior AI Engineer & Snowflake Data Cloud Architect

1000 Accenture LLP Company; Irving (TX); On-site; USD 140,000 - 260,000; Full time

Job summary

Accenture’s Advanced Technology Centers seek a Senior Forward Deployed Engineer to modernize customer data and app ecosystems on the Snowflake AI Data Cloud. You’ll architect scalable Snowflake solutions, partner with executives, and deliver agentic workflows within complex enterprises.

You will embed with clients as technologist and trusted advisor, defining use cases, prototyping quickly, and deploying secure, robust AI-enabled pipelines. Strong data engineering and leadership are essential.

Qualifications

• 10+ years in Python/Java or equivalent stack.
• 10+ years deploying production systems with CI/CD and observability tooling.
• Hands-on MLOps/LLMOps across the ML lifecycle.
• 5+ years with Snowflake AI Data Cloud and large-scale data projects.
• Experience designing agentic AI solutions in production environments.

Responsibilities

• Architect enterprise-ready AI agent systems on Snowflake for data workloads.
• Lead modern Snowflake architectures with Dynamic Tables, Streams & Tasks.
• Develop AI patterns and integrate Cortex AI capabilities with data.
• Build multi-provider AI integration layers (OpenAI, Anthropic, Google).
• Mentor client teams on data management, analytics, and BI integration.
• Operate MLOps/LLMOps pipelines with CI/CD across ML lifecycles.

Skills

Python/Java programming

CI/CD & observability

MLOps/LLMOps

Data engineering

Client-facing communication

Education

Bachelor's degree or equivalent

Tools

Snowflake AI Data Cloud

Cortex AI (Search/Analyst/LLM)

Dynamic Tables/Streams/Tasks

LangGraph/CrewAI/AutoGen

Snowsight

Job description

Accenture’s Advanced Technology Centers seek a Senior Forward Deployed Engineer to modernize customer data and app ecosystems on the Snowflake AI Data Cloud. You’ll architect scalable Snowflake solutions, partner with executives, and deliver agentic workflows within complex enterprises.

You will embed with clients as technologist and trusted advisor, defining use cases, prototyping quickly, and deploying secure, robust AI-enabled pipelines. Strong data engineering and leadership are essential.