Accenture

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

Accenture$132K — $338K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in Python, Java, or equivalent with a strong focus on evaluation tooling and observability.
  • 10+ years in deploying and operating production systems using CI/CD and infrastructure as code, with practical MLOps/LLMOps experience.
  • 5+ years of experience specifically on the Snowflake AI Data Cloud and large-scale data projects, including API layer development.
  • 1+ year designing and deploying agentic AI solutions in production environments.
  • 1+ year experience with agentic orchestration tools like LangGraph or CrewAI, and hands-on with Snowflake Cortex AI features.
  • Exposure to AI platforms such as OpenAI and Claude, with experience in multi-agent systems.

Responsibilities

  • Architect enterprise-ready AI systems on Snowflake focused on governance and lifecycle observability.
  • Create scalable Snowflake solutions tailored to enterprise data workloads and advocate for best practices with clients.
  • Establish modern architectures leveraging Snowflake features like Dynamic Tables and Snowsight UI for enhanced operational visibility.
  • Develop integration layers for AI providers to ensure seamless data flow and functionality.
  • Utilize containerization and microservices for scalable AI-native solutions.
  • Mentor client teams on utilizing Snowflake for data management and analytics.
  • Lead workshops and define metrics for tailored agentic applications across different industries.

Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401(k) plan with employer matching.
  • Bonus opportunities based on performance.
  • Paid holidays and generous paid time off.
  • Long-term disability coverage.
Full Job Description
You Are:

A Senior Forward Deployed Engineer leading the modernization of customer data and application ecosystems on the Snowflake AI Data Cloud, with deep focus on enterprise data engineering workloads. You partner with engineering and business leaders to architect scalable Snowflake solutions, champion best practices across customer engagements, and serve as a trusted technical advisor ensuring customers achieve significant business value with Snowflake.

The Work:

You will embed directly with clients as both technologist and trusted advisor. You will partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.

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.


This is a hybrid role in Dallas, TX and requires 4 days per week in the office. May consider qualified applicants in Columbus, OH; Tampa, FL; Atlanta, GA; Houston, TX.

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

Here's What You Need:
  • 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 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: CI/CD across the ML and LLM lifecycle 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). You've also 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 (LangGraph, CrewAI, AutoGen, or similar). Hands on with Snowflake Cortex AI: Cortex Search, Cortex Analyst, Cortex LLM functions. You've 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)


Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 07/05/2026.

Accenture offers a market 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. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $132,500 to $338,300

Cleveland $122,700 to $270,600

Colorado $132,500 to $292,200

District of Columbia $141,100 to $311,200

Illinois $122,700 to $292,200

Maryland $132,500 to $292,200

Massachusetts $132,500 to $311,200

Minnesota $132,500 to $292,200

New York $122,700 to $338,300

New Jersey $141,100 to $338,300

Washington $141,100 to $311,200

About Accenture

Accenture plc is a multinational professional services company that provides services in strategy, consulting, digital, technology, and operations. The company has more than 537,000 employees serving clients in more than 120 countries. Accenture operates across five business segments: Communications, Media & Technology; Financial Services; Health & Public Service; Products; and Resources. The company is headquartered in Dublin, Ireland, and has offices worldwide.
Learn more about Accenture
Size
624,000 employees
Market Cap
$173.8 billion
Industry
Net Income
$5.2 billion
Founded
1989
5 Year Trend
+11.2%
Revenue
$44.7 billion
NASDAQ

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