Energy AI Solutions Architect

S&P Global; Riyadh Region; On-site; SAR 350,000 - 550,000; Full time

Job summary

S&P Global Energy seeks a Solutions Architect to bridge customers, internal teams, and product development, focusing on AI delivery enablement in energy. You will translate energy workflows into AI/data solutions and guide prototyping across datasets and tooling.

You will collaborate with SME, Commercial, Technology, and Product teams to ensure feasible, standards-aligned designs, while educating teams on AI-enabled capabilities and deployment patterns.

Qualifications

• 5+ years in solution architecture, enablement or related GTM function.
• Energy market knowledge and curiosity to explore data themes.
• Fluent with cloud and AI platforms such as Snowflake, Databricks, GCP.
• Familiar with agentic AI concepts and orchestration tools.
• Able to produce architectural artifacts and documentation.

Responsibilities

• Educate customers on energy workflow outcomes and repeatable AI-enabled processes.
• Map customer objectives to product capabilities, datasets, and integration patterns.
• Learn data endpoints and determine when to develop new workflows and prompts.
• Support prototypes and POCs with feasibility assessment and results documentation
• Collaborate with cross-functional teams to ensure deployable, standards-aligned solutions.

Skills

5+ years in solution architecture

Energy market understanding

Cloud/AI solutions familiarity

AI tools knowledge: Claude CopilotGem

Translate capabilities into client解决方案

Education

Bachelor's degree in Business, CS, or Engineering

Tools

Databricks

Snowflake

Unity Catalog

Genie MCP

Job description

S&P Global Energy seeks a Solutions Architect to bridge customers, internal teams, and product development, focusing on AI delivery enablement in energy. You will translate energy workflows into AI/data solutions and guide prototyping across datasets and tooling.

You will collaborate with SME, Commercial, Technology, and Product teams to ensure feasible, standards-aligned designs, while educating teams on AI-enabled capabilities and deployment patterns.