Senior AI Engineer, Forward Deployed Engineer Senior Manager

Accenture

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TXColumbus, OHSt. Pete, FLAtlanta, GAHouston, TX
Salary
$132,500–$338,300 / yr
Posted
91 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $235k
$108k most similar roles pay here $363k

This role pays more than 60% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $235k versus about $204k 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 192 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 165 roles with salary data.

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At a glance

TL;DR · Senior AI Engineer, Forward Deployed Engineer Senior Manager

Role Posting Log in to save

Sr. AI Engineer - Forward Deployed Engineer Senior Manager will join the Reinvention Centers team to lead the modernization of customer data and application ecosystems on the Snowflake AI Data Cloud. This role focuses on enterprise data engineering workloads where you will act as a technical advisor, partnering with stakeholders to define use cases, prototype solutions, and deploy robust agentic workflows in complex domains. You will build scalable architectures using Dynamic Tables, Streams, Tasks, and Snowsight while developing GenAI patterns via Snowflake Cortex AI. Key responsibilities include managing MLOps/LLMOps pipelines, creating abstraction layers for providers like Anthropic, Google, and OpenAI, and building RAG systems. Required skills include extensive experience with Python, Java, SQL, and orchestration tools like LangGraph or CrewAI to solve complex data challenges through automated, secure, and production-ready AI integrations.

Skills

Snowflake Python Java SQL Cortex AI RAG LangGraph CrewAI AutoGen MLOps LLMOps CI/CD Infrastructure as Code Microservices Serverless Anthropic Cloud OpenAI

What you'll do

  • Architect enterprise-ready AI agent systems on Snowflake including retrieval, orchestration, governance, and lifecycle observability.
  • Design and deploy scalable Snowflake solutions for complex enterprise data workloads using Dynamic Tables, Streams, and Tasks.
  • Build GenAI patterns using Snowflake Cortex AI to integrate LLM functions directly with enterprise data.
  • Develop abstraction layers across multiple AI providers like Anthropic, Google, and OpenAI for seamless integration.
  • Create MLOps and LLMOps pipelines utilizing CI/CD for model training, evaluation, serving, and monitoring.
  • Build Snowflake-native data pipelines and API layers to expose AI capabilities to enterprise systems.
  • Lead client workshops and proof-of-concepts to define use cases and tailor agentic applications across industries.
  • Mentor client teams on data management, analytics, machine learning, and business intelligence integration.

What we're looking for

  • Minimum of 10 years of experience in Python, Java, or equivalent.
  • Minimum of 10 years of experience deploying and operating production systems with CI/CD, infrastructure as code, and observability tooling.
  • Minimum of 5 years of experience on the Snowflake AI Data Cloud and large-scale data projects including Snowpark, Dynamic Tables, Streams, and Tasks.
  • Minimum of 1 year of experience designing and shipping agentic AI solutions in production.
  • Minimum of 1 year of experience with agentic orchestration tools such as LangGraph, CrewAI, or AutoGen.
  • Minimum of 1 year of experience working with AI platforms across OpenAI, Claude, Vertex AI, and open-source models.
  • Experience building RAG and multi-agent systems on the Snowflake AI Data Cloud using Cortex AI features.
  • Bachelor's degree required, or an Associate Degree with at least 6 years of work experience (or 12 years total experience).

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