AI Analyst

AI Analyst

Designs, develops, evaluates, and implements enterprise AI solutions that address business challenges and improve operational outcomes. Possesses both a strong understanding of AI concepts, model architectures, and emerging technologies, as well as hands-on experience developing AI applications using enterprise-approved AI platforms, frameworks, and development tools. Demonstrates the ability to assess and apply diverse AI model types including large language models (LLMs), machine learning models, agent-based frameworks, retrieval-augmented generation (RAG), and other AI technologies to deliver practical business value.

Has real-world experience taking AI initiatives from problem definition and requirements gathering through solution design, model selection, implementation, testing, deployment, monitoring, and continuous improvement.

Primary Responsibilities:

• Partner with business and technology teams to identify and evaluate opportunities for AI-driven solutions
• Design, prototype, develop, test, and deploy AI applications and intelligent automation solutions
• Evaluate and select appropriate AI models, frameworks, and architectures to meet specific business objectives
• Develop and refine prompts, workflows, agents, and retrieval strategies to improve AI solution effectiveness
• Integrate AI capabilities with enterprise systems, databases, APIs, and business processes
• Monitor AI solution performance, accuracy, reliability, and adoption, and recommend improvements as needed
• Ensure compliance with enterprise security, governance, privacy, and Responsible AI standards
• Document solution designs, technical specifications, key decisions, testing results, and implementation procedures
• Stay current with emerging AI technologies, tools, and industry best practices, and recommend adoption where appropriate
• Achieve assigned deliverables with high quality within defined budgets and timelines
• Ability to interface with technology managers and business users throughout the company
• Design and implement AI-driven monitoring pipelines that ingest server, database, and application logs to predict system anomalies, suggest real-time resolutions, and automate post-incident root-cause analysis (RCA)