Snowflake Advanced AI Solution Lead

We are at the forefront of a transformative era where generative AI is redefining business landscapes. As the number one driver of business reinvention, AI's success hinges on data readiness. Accenture is leading this charge with a bold strategy to help clients optimize and reinvent their businesses through data and AI. With over 77,000 dedicated Data & AI professionals, our organization thrives on innovation, strategic investment, and a powerful ecosystem. This is your opportunity to build a rewarding career in a dynamic, digitally driven environment where you can work on cutting-edge projects and shape the future.

About the role

As a Snowflake Advanced AI Solution Lead, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. Your work will span the full solution lifecycle, from assessing client needs and data to selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models). You will design scalable data and MLOps/LLMOps pipelines for training and production, ensuring the quality, value, and reliability of deployed systems.

Responsibilities

• Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions.
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps.
• Customize and apply Deep Learning and Generative AI models for various use cases based on business needs, data availability, system, and infrastructure requirements—including edge devices and HPC.
• Engage in research and development of new AI and high-performance compute algorithms, models, and simulations to solve complex business problems at client sites.
• Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production.
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools.
• Justify the value of model approaches in business contexts.
• Collaborate with cross-functional teams, including business and technical stakeholders, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate solutions into production.

Travel may be required for this role, ranging from 0% to 100% depending on business needs and client requirements.

Requirements

• Minimum of 2 years of hands-on experience with Snowflake Cortex AI, including Cortex Agents, Cortex Analyst, and Cortex Search.
• Minimum of 5 years of experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing.
• Minimum of 5 years of experience applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
• Minimum of 3 years of experience in distributed computing systems and architecture, which may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, and distributed networks.
• Minimum of 2 years of experience building and deploying AI/ML-based software to a cloud environment.
• Bachelor's degree or equivalent (minimum 12 years of work experience). If Associate’s Degree, must have a minimum of 6 years of work experience.

Skills

• Strong written and verbal communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Strong client-facing skills in a consulting environment.
• Strong cross-functional collaboration skills, working with internal and client-side teams.
• Entrepreneurial mindset with a curiosity and passion for emergent technology and driving innovation.

Preferred Qualifications

• Proficiency in Python and Python-based AI/ML frameworks, with familiarity in relevant libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience working with language models like LLM APIs and optimizing their usage for specific applications.
• Experience with programming languages: Python, C++, Java, R, SQL.
• MS or PhD in a related field (e.g., computer science, engineering) preferred.

Pay

Compensation at Accenture varies based on factors such as office location, role, skill set, and level of experience. Below are the annual salary ranges for this role by location:

• California: $94,400 to $293,800
• Cleveland: $87,400 to $235,000
• Colorado: $94,400 to $253,800
• District of Columbia: $100,500 to $270,300
• Illinois: $87,400 to $253,800
• Maine: $80,400 to $216,200
• Maryland: $94,400 to $253,800
• Massachusetts: $94,400 to $270,300
• Minnesota: $94,400 to $253,800
• New York: $87,400 to $293,800
• New Jersey: $100,500 to $293,800
• Virginia: $87,400 to $270,300
• Washington: $100,500 to $270,300

Benefits

Accenture offers a market-competitive suite of benefits, including:

• Medical, dental, vision, life, and long-term disability coverage.
• 401(k) plan with bonus opportunities.
• Paid holidays and paid time off.

For more details, visit U.S. Employee Benefits | Accenture.