Not specified; not specified; competitive pyy + re...
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12+ years software/data/ai architecture experience
5+ years leadership role in ai/ml
Deep expertise in agentic ai and llms
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S&P Global Energy is seeking a Director of AI-Driven Applications, a senior leadership role focused on developing and executing AI strategies for enterprise systems. The position emphasizes hands-on technical leadership, requiring expertise in AI design, data modeling, and enterprise architecture, while offering a dynamic work environment and comprehensive benefits.
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Job Summary
The role is responsible for defining and executing the organization's vision for intelligent, AI-native enterprise systems.
Candidates must lead the design of production AI applications using LLMs, multi-agent systems, and retrieval-augmented generation.
S&P Global offers comprehensive benefits including health care coverage, flexible downtime, and financial wellness programs.
Matching Summary
Match Score: 75
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S&P Global Energy is seeking a Director of AI-Driven Applications, a senior leadership role focused on developing and executing AI strategies for enterprise systems. The position emphasizes hands-on technical leadership, requiring expertise in AI design, data modeling, and enterprise architecture, while offering a dynamic work environment and comprehensive benefits.
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Salary
Not specified; Not specified; Competitive pay and retirement planning
Skills & Requirements
Must-have
12+ years software/data/AI architecture experience
5+ years leadership role in AI/ML
Deep expertise in agentic AI and LLMs
Experience with LangChain, AutoGen, or CrewAI
Enterprise-scale data platform design
Nice-to-have
Experience in regulated industries like finance
Published research or patents in AI/ML
TOGAF or Zachman enterprise architecture frameworks
AWS Solutions Architect Professional certification
Culture of continuous learning and experimentation
Key Requirements
12+ years progressive experience in software/data/AI architecture
5+ years in a leadership role
Deep expertise in at least two major cloud platforms (AWS, Azure, GCP)
Strong background in data modelling and data platform design