Snowflake Advanced AI Engineer

Accenture

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CAMilwaukee, WIDallas, TXColumbus, OHKirkland, WA
Salary
$70,350–$205,800 / yr
Posted
31 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $204k
This role $138k
$48k most similar roles pay here $283k

This role pays less than 93% of similar roles. Most pay $162,000–$246,271 — the shaded band above. At the midpoint, this role pays about $138k 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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View all roles at Accenture

At a glance

TL;DR · Snowflake Advanced AI Engineer

As a Snowflake Advanced AI Engineer, you will join the Global Agentic Center of Excellence to design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. You will manage the full solution lifecycle by assessing client needs, selecting and customizing models including Deep Learning, Generative AI, and Large Language Models, and building scalable MLOps and LLMOps pipelines. Your daily work involves developing machine learning algorithms, managing large-scale datasets, and implementing data storage mechanisms to ensure production-ready outcomes. You will utilize Snowflake Cortex AI features like Cortex Agents, Cortex Analyst, and Cortex Search. Required technical skills include experience with Python, C++, Java, R, and SQL, alongside proficiency in frameworks such as TensorFlow or PyTorch. This role solves complex business problems by transforming real-world challenges into scalable computational systems and high-performance compute algorithms.

What you'll do

  • Design, build, and operationalize production-ready AI and machine learning solutions for enterprise clients.
  • Formulate real-world business problems into scalable and efficient technical solutions.
  • Develop and implement machine learning algorithms and computational systems using MLOps and DevOps practices.
  • Build scalable data pipelines to support model training and production environments.
  • Customize and apply Deep Learning, Generative AI, and Large Language Models based on specific client needs.
  • Conduct research and development of new AI models and high-performance compute algorithms.
  • Process large-scale datasets using advanced techniques to ensure high-quality input for training.
  • Maintain efficient data storage and retrieval mechanisms for model knowledge and information.

What we're looking for

  • Minimum of 2 years of hands-on experience with Snowflake Cortex AI (Cortex Agents, Cortex Analyst, Cortex Search).
  • Minimum of 3 years of experience as a machine learning engineer or scientist deploying models in production at scale.
  • Minimum of 3 years of experience applying theoretical foundations of computer science, including system architecture and engineering.
  • Minimum of 1 year of experience in distributed computing systems and architectures including big data and cloud computing.
  • Minimum of 1 year of experience building and deploying AI/ML based software to a cloud environment.
  • Bachelor's degree or equivalent (minimum 12 years work experience); Associate’s Degree requires minimum 6 years experience.
  • Proficiency in Python, C++, Java, R, or SQL (preferred).
  • MS or PhD in a related field such as computer science or engineering (preferred).

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