Snowflake AI Engineer: GenAI & MLOps Leader

Accenture PLC; Redmond; On-site; AUD 102,000 - 298,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture PLC is seeking a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud AI services, manage full solution lifecycles, and ensure production reliability and value.

You will work across Deep Learning, Gen AI, and LLMs, build scalable data pipelines, and collaborate with diverse teams to deliver end-to-end projects while traveling as needed.

Qualifications

• 2+ years hands-on with Snowflake Cortex AI components
• 3+ years as ML engineer/scientist deploying models in production
• Experience in distributed computing, cloud environments, and HPC
• Bachelor degree or equivalent work experience, 12+ years total minimum

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions
• Develop models and data pipelines with DevOps/MLOps
• Customize generative AI models for enterprise needs
• Research new AI algorithms and apply to client projects
• Work with large datasets and ensure high-quality training data
• Collaborate with business and technical teams to deploy solutions

Skills

Strong communication

Client-facing

Cross-functional

Entrepreneurial mindset

Education

Bachelor's degree or equivalent

Tools

Snowflake Cortex AI

Python

C++

Java

R

SQL

TensorFlow

PyTorch

LLM APIs

Job description

Accenture PLC is seeking a Snowflake Advanced AI Engineer to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud AI services, manage full solution lifecycles, and ensure production reliability and value.

You will work across Deep Learning, Gen AI, and LLMs, build scalable data pipelines, and collaborate with diverse teams to deliver end-to-end projects while traveling as needed.