Senior Developer Agentic AI
Core
Design, architect, and deploy autonomous agentic AI systems (multi-agent frameworks, self-optimizing systems, LLM-driven decision engines) to automate decision-making and task execution for S&P Global's data collection platforms.
Role type
Senior AI Architect (Agentic AI)
Builds
Autonomous AI agents, orchestration layers, and cloud-native infrastructure for intelligent process evolution.
Domain
Financial services (S&P Global) + Agentic AI / Autonomous Systems
Deliverable
production ML models
Required skills
Python, multi-agent frameworks (LangChain, Autogen, CrewAI), cloud platforms (AWS, GCP), MLOps (Kubeflow, MLflow), LLM fine-tuning, architectural blueprinting, system validation/testing
Preferred skills
Neuro-symbolic architectures, self-improving AI systems, open-source AI community contribution
Technologies
AWS (Redis, Lambda, EKS, Postgres), Google Cloud Vertex AI, Kubeflow, MLflow, LangChain, Autogen, CrewAI
Responsibilities
Evaluate and implement leading AI tools and frameworks for autonomous solutions; Design strategies for optimizing autonomous AI models for domain-specific tasks; Spearhead integration of R&D initiatives into production architectures; Develop technical white papers and architectural diagrams; Design and oversee rigorous architectural testing of AI agents; Collaborate with executives and product teams to align AI initiatives with strategic objectives
Seniority
Senior, hands-on IC
