We are:

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people:

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.

For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

You Are:

A Forward Deployed Engineer with strong experience building data engineering workloads on the Snowflake AI Data Cloud. You partner closely with clients to design, build, and implement modern data solutions on Snowflake, ensuring data quality, performance, and cost efficiency, and you act as a trusted technical advisor helping customers harness their data, drive insights, and power AI initiatives.

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:

• Design and engineer enterprise-ready AI agents: retrieval, orchestration, tool invocation, evaluation harnesses.

• Build Snowflake data pipelines with Dynamic Tables, Streams, and Tasks; use Snowsight UI for query authoring, dashboards, and operational visibility.

• Build GenAI capabilities into Snowflake workloads with Cortex AI (Cortex Search, Cortex Analyst, Cortex LLM functions).

• Optimize data models, queries, and processing workflows on Snowflake for performance and cost.

• Process large-scale data on Snowflake with SQL, Python, and the Spark ecosystem.

• Tailor and deploy agentic applications across finance, healthcare, and retail; conduct workshops, PoCs, and code-with sessions with clients.

• Define and use metrics for agent accuracy, latency, safety, and cost.

• 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 3 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 4 years of engineering 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 4 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.

• Minimum 4 years experience in shipping to production: CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. Practical MLOps and LLMOps experience across the ML and LLM lifecycle (model training, serving, monitoring, prompt management).

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

• Minimum 1 year experience in shipping agentic solutions in production (agents, orchestration, context engineering, RAG, workflows) using AI platforms (OpenAI, Claude, Vertex AI, open-source) and Snowflake Cortex AI (Cortex Search, Cortex Analyst, Cortex LLM functions).

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 $73,800 to $220,400

Cleveland $68,300 to $176,300

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Maine $62,800 to $162,200

Maryland $73,800 to $190,400

Massachusetts $73,800 to $202,700

Minnesota $73,800 to $190,400

New York $68,300 to $220,400

New Jersey $78,500 to $220,400

Virginia $68,300 to $202,700

Washington $80,200 to $202,700

Requesting an Accommodation

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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

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For details, view a copy of the Accenture Equal Opportunity Statement

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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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