BigQuery Programmer Analyst Analyst (Jobs in Lansing, MI) Requirement id 152162 Job title Analyst Job location in Lansing, MI Skills required BigQuery, Google Cloud Platform Experience, Problem Solving Skills, Programmer Analyst Open Date 04-Mar-2025 Close Date Job type Contract Duration 3 Months Compensation DOE Status requirement --- Job interview type --- Email Recruiter:coolsoft Job Description Analyst: BigQuery, Google Cloud Platform Experience, Problem Solving Skills, Programmer Analyst No of Submissions : 1 Start date : 04/01/2025 End Date : At least 1984 Hours from projected start date Submission deadline : 3/11 at 10am EST. Client Info : eMichigan Note: * Interview Process: Virtual Interview via MS Teams video. Please use laptop and be prepared so share screen if asked. Use of headphones is strongly discouraged. A screenshot photo of candidate will be required for any Teams interviews as well as a vendor present at beginning of interview to validate candidate. Virtual interviews are expected the week of 3/17. * Remote or On-site: Both local and non-local candidates (able to quickly relocate upon acceptance) will be considered for this position. Local candidates HIGHLY desired. Position will be hybrid work schedule, onsite Mondays and Tuesdays each week. NO REMOTE ONLY OPTION. * Duration: 1 year with possible extension. Description : We are seeking a Conversational AI Engineer to design, implement, and enhance a conversational AI agent leveraging the latest advancements in Generative AI and Natural Language Processing (NLP). This role will work closely with business stakeholders to understand user needs, analyze AI interactions, and develop intelligent, responsive chatbot experiences. The ideal candidate has experience with Dialogflow CX, Vertex AI, BigQuery, and Looker Studio, as well as a deep understanding of LLMs (Large Language Models), prompt engineering, and fine-tuning AI models. Key Responsibilities • Develop and optimize a Generative AI-powered virtual assistant to provide accurate, dynamic, and context-aware responses. • Leverage LLMs and fine-tuning techniques within Vertex AI for advanced conversational capabilities. • Implement and refine conversational experiences in Dialogflow CX, incorporating Playbooks and Tools for structured interactions. • Analyze chatbot performance using BigQuery and Looker Studio to identify areas for improvement and enhance response quality. • Create guided conversational flows and prompt engineering strategies to optimize AI responses. • Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agents ability to pull in relevant, up-to-date information. • Integrate Google Cloud Functions for seamless backend connectivity and automation. • Work with stakeholders to ensure AI solutions align with business goals and compliance requirements. • Monitor and iterate on AI model performance, implementing continual improvements based on user feedback and analytics. Required Qualifications • Bachelors or masters degree in computer science, Computer Information Systems, AI, or a related field. • Experience developing AI-powered chatbots or virtual assistants, preferably using Dialogflow CX and Vertex AI. • Strong understanding of Generative AI, LLMs, NLP, and prompt engineering techniques. • Proficiency in Google Cloud Services, including Vertex AI, BigQuery, Looker Studio, and Cloud Functions. • Familiarity with Dialogflow Playbooks and Tools for structured conversational AI development. • Experience analyzing AI performance metrics and improving model accuracy. • Ability to translate business needs into effective Generative AI solutions. • Strong problem-solving skills and ability to work with both technical and non-technical stakeholders. Preferred Qualifications • Familiarity with APIs, cloud security best practices, and AI ethics. • Proficiency in Python or JavaScript for AI model integration and automation. • Experience with RAG-based AI approaches to improve knowledge retrieval in conversations. • Experience deploying infrastructure as code using Terraform. Call502-379-4456 Ext 100for more details. Please provide Requirement id: 152162 while calling.