Accenture

Senior AI Lead -Snowflake

Accenture$131K — $278K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in related field or equivalent experience
  • 10 years proficient in Python, Java, or similar languages
  • 5 years of experience with Snowflake AI Data Cloud and large-scale data projects
  • 4 years of experience in deploying production systems with CI/CD and observability
  • 1 year of hands-on experience with production agentic AI solutions
  • Familiarity with AI platforms like OpenAI, Claude, Vertex AI, and open-source models

Responsibilities

  • Architect enterprise-ready AI agent systems on Snowflake
  • Champion best practices for scalable Snowflake solutions
  • Establish modern Snowflake architecture using advanced features
  • Implement GenAI architectures on Snowflake Cortex AI
  • Develop integration layers for various AI providers
  • Leverage modern architectural practices for scalable AI systems
  • Mentor client teams in data management and AI processes
  • Tailor AI applications across industries and lead workshops
  • Build Snowflake-native data pipelines and workflows
  • Manage MLOps/LLMOps pipelines through the ML/LLM lifecycle

Benefits

  • Work closely with clients as a trusted technical advisor
  • Engage in enterprise-level transformation projects
  • Enjoy mentorship and continuous learning opportunities
  • Contribute to innovating solutions in AI and data management
  • Flexibility in working with cutting-edge technologies
Full Job Description
You Are

A Senior Forward Deployed Technology lead, leading the modernization of customer data and application ecosystems on the Snowflake AI Data Cloud, with deep focus on enterprise data workloads. You partner with technology 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 architecture 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 role requires in-office presence in the local ATC office 3 days per week.

Here's What You Need:

  • Bachelor’s degree or completion of a college program in a related discipline

  • 10 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.

  • 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.

  • 4 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.

  • 1 year experience in designing and shipping agentic AI solutions in production, 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.

  • Experience working with AI platforms across OpenAI, Claude, Vertex AI, and open-source models.

English is required for this position as this role will be aligned to multi-national teams where English is the common language across our Global Enterprise. Due to the significant high volume of interactions with these English-speaking multi-national teams, which is inherent to this position, it is not possible to reorganize the company's activities to avoid this requirement.

#LI-NA-FY25
#LI-MP

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, based on full-time employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand-new position.

The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.

It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate.

Role Location                                    Annual Salary Range

British Columbia/Ontario/New Brunswick                   $131,700 to $278,100

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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