Snowflake Advanced AI Engineer
accentureScottsdale (AZ)
Snowflake Advanced AI Engineer
Posted today
accentureScottsdale (AZ)
SENIORITY
Lead
About the role
Overview:
In this role, you will design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud and third-party services. You’ll manage the full solution lifecycle, from problem framing to production-grade pipelines and model monitoring. You’ll leverage Gen AI, LLMs, and deep learning to solve real business needs and scale data workflows. This is a client-facing, cross-functional engineering role at Accenture Technology, offering opportunities to work on cutting-edge AI initiatives. Compensation / Benefits medical, dental, vision life and long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities:
Translate real-world problems into scalable AI/ML solutions Develop models and scalable data pipelines supporting training and production with DevOps & MLOps Customize Deep Learning and Gen AI models for various business use cases, including edge/HPC contexts Engage in R&D of new AI and HPC algorithms and their client applications Work with large-scale datasets and data preprocessing for high-quality inputs Implement and maintain efficient data storage/retrieval for models and knowledge Justify model approaches in business terms Collaborate with business and technical teams to achieve end-to-end production goals
Key requirements:
Minimum 2 years hands-on experience with Snowflake Cortex AI (Cortex Agents, Cortex Analyst, Cortex Search) Minimum 3 years as ML engineer or scientist deploying models in production at scale with monitoring and auditing Minimum 3 years in CS foundations: architecture, systems, programming Minimum 1 year in distributed computing/big data/cloud computing environments Minimum 1 year building and deploying AI/ML software to a cloud environment Bachelor's degree or equivalent work experience (12 years) Strong written and verbal communication to explain technical concepts to non-technical stakeholders Strong client-facing and consulting-oriented mindset Cross-functional collaboration with internal and client teams Python and Python-based AI/ML frameworks (TensorFlow, PyTorch) Experience with language models and LLM APIs Programming languages: Python, C++, Java, R, SQL
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