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

Accenture

Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TXColumbus, OHTampa, FLAtlanta, GAHouston, TX
Salary
$132,500–$338,300 / yr
Posted
3 days ago
Nearby
78 roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $235k
$108k most similar roles pay here $363k

This role pays more than 65% of similar roles. Most pay $167,625–$246,150 — the shaded band above. At the midpoint, this role pays about $235k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 126 open roles on FindRole.

Listed pay typically runs $94,400–$220,400 across 85 roles with salary data.

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At a glance

TL;DR · Sr. AI Engineer - Forward Deployed Engineer Senior Manager · Snowflake · Reinvention Centers

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As a Senior Forward Deployed Engineer at the Advanced Technology Centers (ATCs), you will lead the modernization of customer data and application ecosystems on Snowflake’s AI Data Cloud, focusing on enterprise data engineering workloads. You will embed directly with clients to architect scalable Snowflake solutions, champion best practices, and serve as a trusted technical advisor, ensuring significant business value is achieved through robust, secure, and operational agentic workflows in complex enterprise domains. Your daily tasks include designing enterprise-ready AI agent systems, establishing modern Snowflake architectures, developing abstraction layers for clean integration across various AI providers, mentoring client teams on data management and analytics, and building Snowflake-native pipelines using Cortex AI and the Snowflake data ecosystem. This role requires extensive experience with Python or Java, a deep understanding of Snowflake’s AI Data Cloud, practical MLOps and LLMOps knowledge, and hands-on expertise with agentic orchestration tools like LangGraph and CrewAI.

Skills

Snowflake Python Java CI/CD MLOps LLMOps Snowpark Dynamic Tables Streams&Tasks Snowsight Cortex AI LangGraph AutoGen RAG OpenAI Vertex AI Microservices Serverless Event-driven architectures Containerization

What you'll do

  • Architect enterprise-ready AI agent systems on Snowflake for retrieval and orchestration.
  • Champion best practices in scalable Snowflake solutions across customer engagements.
  • Develop abstraction layers for clean integration of AI providers into Snowflake.
  • Mentor client teams on data management, analytics, and BI integration with Snowflake.
  • Build Snowflake-native pipelines using Cortex AI and Dynamic Tables.
  • Tailor agentic applications across industries, leading workshops and PoCs.
  • Operate MLOps/LLMOps pipelines with CI/CD for ML and LLM lifecycle.

What we're looking for

  • 10+ years of experience in Python or Java with proficiency in CI/CD and observability tooling.
  • Extensive experience (5+ years) on Snowflake AI Data Cloud, including large-scale data projects and API layer development.
  • Proven track record (1+ year) in designing and deploying agentic AI solutions in production environments.
  • Hands-on expertise with Snowflake Cortex AI tools and building RAG systems on the Snowflake AI Data Cloud.
  • Experience working with multiple AI platforms like OpenAI, Claude, Vertex AI, and open-source models.
  • Strong background in MLOps/LLMOps practices across the ML and LLM lifecycle.

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