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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 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 07/27/2026.
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
Maine $112,900 to $249,000
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
Virginia $122,700 to $311,200
Washington $141,100 to $311,200
About AccentureAccenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.
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