JOB DESCRIPTION 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
Experience 2 - 10 years Job Site Remote Organization Unit IT WORK Management Solutions IT Solutions Delivery Job Category Information Technology
TECHNICAL SKILLS Must Have Ability to evaluate compare and select appropriate AI technologies based on business and technical requirements Experience integrating AI solutions with enterprise systems APIs databases and business applications Experience with cloud-based AI services and enterprise AI platforms Experience working with Large Language Models (LLMs) Retrieval Augmented Generation (RAG) AI Agents prompt engineering and model orchestration frameworks Git DevOps CI/CD practices and version control Hands-on experience with Azure AI Microsoft Copilot Studio Gemini Enterprise Spark AI development platforms frameworks and tools Python development and AI-related libraries/frameworks SQL and data analysis skills Strong understanding of AI/ML concepts model evaluation techniques model limitations and responsible AI practices
Nice To Have Experience applying AI/ML to IT operations (AIOps) specifically in predictive log analysis automated incident remediation and automated root-cause analysis
JOB DESCRIPTIONDesigns 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 applicat...
JOB DESCRIPTION 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
Experience 2 - 10 years Job Site Remote Organization Unit IT WORK Management Solutions IT Solutions Delivery Job Category Information Technology
TECHNICAL SKILLS Must Have Ability to evaluate compare and select appropriate AI technologies based on business and technical requirements Experience integrating AI solutions with enterprise systems APIs databases and business applications Experience with cloud-based AI services and enterprise AI platforms Experience working with Large Language Models (LLMs) Retrieval Augmented Generation (RAG) AI Agents prompt engineering and model orchestration frameworks Git DevOps CI/CD practices and version control Hands-on experience with Azure AI Microsoft Copilot Studio Gemini Enterprise Spark AI development platforms frameworks and tools Python development and AI-related libraries/frameworks SQL and data analysis skills Strong understanding of AI/ML concepts model evaluation techniques model limitations and responsible AI practices
Nice To Have Experience applying AI/ML to IT operations (AIOps) specifically in predictive log analysis automated incident remediation and automated root-cause analysis