Senior AI Engineer: Snowflake AI & MLOps Architect

Accenture; Columbus (OH); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Accenture is seeking a Senior Forward Deployed Engineer to modernize customer data ecosystems on the Snowflake AI Data Cloud. You will partner with leaders to architect scalable Snowflake solutions, define use cases, prototype rapidly, and deploy robust agentic workflows in enterprise environments.

You will embed with clients as technologist and trusted advisor, mentoring teams on data management, analytics, AI/ML, and BI integration while leading PoCs and workshops to deliver business value.

Qualifications

• Minimum of 10 years of experience in Python, Java, or equivalent.
• Minimum of 10 years deploying and operating production systems with CI/CD and observability tooling.
• Minimum of 5 years on Snowflake AI Data Cloud and large-scale data projects.
• Minimum of 1 year designing agentic AI solutions in production.
• Minimum of 1 year with agentic orchestration tools and Snowflake Cortex AI.
• Minimum of 1 year experience with AI platforms across OpenAI, Claude, Vertex AI.

Responsibilities

• Architect enterprise-ready AI agent systems on Snowflake including retrieval, orchestration, governance, and observability.
• Architect scalable Snowflake solutions for enterprise data workloads and promote best practices.
• Establish modern Snowflake architectures with Dynamic Tables, Streams, and Tasks and leverage Cortex AI features.
• Develop abstraction layers across AI providers for clean integration.
• Lead workshops, PoCs, and metric definitions with clients.

Skills

Python

Java

Snowflake AI Data Cloud

MLOps

CI/CD

OpenAI/Anthropic/Vertex AI

Cloud platforms

Education

Bachelor's degree or equivalent

Tools

Snowflake Cortex AI

LangGraph

AutoGen

Snowsight

Dynamic Tables

Streams & Tasks

Job description

Accenture is seeking a Senior Forward Deployed Engineer to modernize customer data ecosystems on the Snowflake AI Data Cloud. You will partner with leaders to architect scalable Snowflake solutions, define use cases, prototype rapidly, and deploy robust agentic workflows in enterprise environments.

You will embed with clients as technologist and trusted advisor, mentoring teams on data management, analytics, AI/ML, and BI integration while leading PoCs and workshops to deliver business value.