Senior Consultant - AI Engineering

Responsibilities

• Design and implement Data and AI use cases on Snowflake platforms, ensuring seamless integration and optimal performance.
• Build and enhance Snowflake platform capabilities to meet client needs and advance Data and AI applications.
• Apply expertise in Snowflake, Data Engineering, and Cloud technologies to deliver high-quality solutions.

This role can be performed from anywhere in the US.

• Bachelor's Degree

• Bachelor's Degree

• Snowflake Platform Expertise:
  Experience with designing and implementing data and AI use cases on Snowflake platforms, ensuring seamless integration and optimal performance.
• Data Engineering Knowledge:
  Experience with data engineering principles and practices, including data modeling, data warehousing, and data governance.
• Cloud Technology Proficiency:
  Experience with cloud technologies, including migration, deployment, and management of cloud‑based data platforms.
• Solution Implementation
  
  Skills:
  
  Experience with implementing data and AI solutions on Snowflake platforms, leveraging expertise in Snowflake, Data Engineering, and Cloud technologies.
• Platform Enhancement Capabilities:
  Experience with building and enhancing Snowflake platform capabilities to meet client needs and advance Data and AI applications.

• Advanced Snowflake Platform Knowledge:
  Experience with advanced Snowflake features, including data sharing, data pipelines, and data security. Ability to design and implement complex data and AI use cases on Snowflake platforms.
• Cloud Architecture Expertise:
  Experience with designing and implementing scalable and secure cloud architectures for data and AI applications. Knowledge of cloud migration, deployment, and management best practices.
• Data Engineering Best Practices:
  Experience with implementing data engineering best practices, including data modeling, data warehousing, and data governance. Ability to optimize data and AI solutions for performance and scalability.

• Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being.
• Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long‑term disability coverage, and opportunities for performance‑based salary incentive programs.
• Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law.
• Training and educational resources on our personalized, AI‑driven learning platform where IBMers can grow skills and obtain industry‑recognized certifications to achieve their career goals.
• Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences.
• We consider qualified applicants with criminal histories, consistent with applicable law.

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Compensation range: $ to $ per year.

Work arrangement:
Hybrid. Shift: General (daytime). Some travel may be required based on business demand.

Visa sponsorship is not provided for this position. Applicants must have the ability to work without a current or future visa sponsorship.