Remote Enterprise AI Analyst: LLMs, RAG & Automation

Donnelly-; New York (NY); On-site; USD 120,000 - 165,000; Full time

Job summary

Donnelly- is seeking an experienced AI Analyst to design, develop, and deploy enterprise AI solutions that solve complex business challenges and improve operational efficiency.

The role requires hands-on experience with LLMs, RAG, AI Agents, prompt engineering, and cloud-based AI services. You will collaborate with business and technology teams to deliver production-ready AI applications while ensuring governance and Responsible AI best practices.

Qualifications

• Hands-on experience delivering AI initiatives from concept through production.
• Strong understanding of enterprise AI platforms, cloud services, and governance.
• Experience with Responsible AI practices and model evaluation.

Responsibilities

• Partner with business and technology teams to identify opportunities for AI‑driven solutions.
• Design, prototype, develop, test, deploy, and support enterprise AI applications.
• Evaluate and select AI models, frameworks, and architectures for business needs.
• Develop prompts, AI workflows, intelligent agents, and RAG pipelines to improve accuracy.
• Integrate AI solutions with enterprise systems, APIs, databases, and business processes.
• Monitor AI solution performance, reliability, adoption, and accuracy; recommend improvements.

Skills

Azure AI

LLMs

RAG

AI Agents

Prompt engineering

Python

SQL

APIs & Integrations

Cloud-based AI services

Git CI/CD

Tools

Microsoft Copilot Studio

Gemini Enterprise

Git

CI/CD tooling

Job description

Donnelly- is seeking an experienced AI Analyst to design, develop, and deploy enterprise AI solutions that solve complex business challenges and improve operational efficiency.

The role requires hands-on experience with LLMs, RAG, AI Agents, prompt engineering, and cloud-based AI services. You will collaborate with business and technology teams to deliver production-ready AI applications while ensuring governance and Responsible AI best practices.