✦ Luna Orbit — AI & Machine Learning

Principal Machine Learning Engineer

at S&P Global

📍 2 Locations Unknown 💰 $165K – $210K USD / year Posted March 25, 2026
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Position Details

Salary $165K – $210K USD / year
Type Not Specified
Experience lead
Exp. Years 12+ years
Education Not specified
Category AI & Machine Learning

About this role

This role involves leading the development of advanced AI systems, including large language models, generative and autonomous AI agents, and driving enterprise-wide AI transformation initiatives with a focus on scalable, production-ready solutions.

Key Responsibilities

  • Architect large-scale LLM systems
  • Build scalable Python APIs
  • Design Generative and Agentic AI systems
  • Lead AI transformation initiatives
  • Implement enterprise-grade AI guardrails

Technical Overview

The technical environment includes large language models, Python backend APIs, cloud AI services (Bedrock, Azure OpenAI, Vertex AI), distributed systems, GPU infrastructure, and observability tools, emphasizing scalable AI system design and deployment.

Ideal Candidate

The ideal candidate is a senior AI & ML expert with extensive experience in architecting large-scale LLM systems, building scalable backend APIs in Python, and leading AI transformation initiatives within enterprise environments, with strong leadership and mentoring skills.

Must-Have Skills

Experience architecting large-scale LLM infrastructureBuilding scalable Python backend APIsDesigning Generative AI and Agentic AI systemsExperience with enterprise AI transformationKnowledge of multi-modal AI systemsExperience with cloud AI services (BedrockAzure OpenAIVertex AI)Experience with production-grade ML applicationsStrong engineering standards

Nice-to-Have Skills

Experience with multi-agent orchestrationMemory management in AI systemsEnterprise-grade guardrails and observabilityExperience with open-source LLM variants (LLaMAMistralGemma)

Tools & Platforms

FastAPIgRPCBedrockAzure OpenAIVertex AIvLLMTGIMLflowKubeflowSageMaker

Required Skills

Experience architecting large-scale LLM infrastructurebuilding scalable Python backend APIsdesigning Generative AI and Agentic AI systemsexperience with cloud AI servicesenterprise AI transformationstrong engineering standards

Hard Skills

Large Language ModelsLLMGenerative AIAgentic AIPythonAPIsFastAPIgRPCCloud-native AI infrastructureGPUvector databasesdistributed systemsMLflowKubeflowSageMakerprompt engineeringmodel governanceobservability

Soft Skills

leadershipmentoringcollaborationproblem-solvinginnovation

Industry & Role

Industry Financial Services / AI & ML
Job Function Leading the development and deployment of advanced AI systems and enterprise AI transformation
Role Subtype AI Engineer
Tech Domains Python, FastAPI, gRPC, Amazon Web Services, Azure, Vertex AI, MLflow, Kubeflow, SageMaker, GPU

Keywords for Your Resume

LLMgenerative aiagentic aipythonapisfastapigrpccloud ai infrastructuregpuvector databasesdistributed systemsmlflowkubeflowsagemakerprompt engineeringmodel governanceobservabilityai transformationlarge language modelsenterprise aigenerative AIagentic AIPythonAPIsFastAPIgRPCcloud AIGPU

Deal Breakers

Lack of experience with large-scale LLM infrastructure, No experience with Python backend APIs, No background in AI transformation, Less than 12 years of relevant experience

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