AI Chatbot Developer

Overview Remote, however, if there are any meetings or workshops they can be asked to report to Onsite. Client is seeking an experienced Artificial Intelligence (AI) Engineer, who possesses extensive knowledge and hands-on experience in developing intelligent chatbot solutions using both Microsoft Bot Framework and Google Cloud Contact Center AI (CCAI). This role includes developing traditional and generative AI solutions using platforms such as Google CCAI Services, Microsoft ecosystem, and will also assist with supporting and modernizing On-Prem SharePoint applications to M365. Responsibilities include building conversational interfaces, integrating with natural language processing (NLP) or generative AI, effective prompt engineering, connecting chatbot systems to other software applications, supporting SharePoint On-Prem applications, and modernizing existing SharePoint On-Prem systems to M365 as needed. AI Engineer is also responsible for designing and delivering data access through APIs, and ensuring that these solutions are securely deployed. The goal is to create AI and M365 applications that are innovative and help to improve customer experience and worker efficiency. For AI Chatbots, this means creating a chatbot experience that is not only conversational but also natural, engaging, and intuitive. Responsibilities Developing and maintaining Microsoft and Google AI applications including but not limited to Conversational Agents and Generative AI solutions that interact with web services, APIs, and other software applications. Building new M365 solutions to replace existing On-Prem SharePoint applications. Designing and architecting AI/Gen AI chatbot solutions, including determining the necessary features, user flow, API development and integration with other systems. Developing and maintaining Generative AI solutions using AWS Bedrock and other AWS services as needed for specific AI solutions. Implementing and tuning NLP techniques to improve chatbot’s understanding and response accuracy. Training and deploying AI models. Creating and utilizing Dashboards to monitor chatbot performance. Creating custom indexes, managing data sources, and tuning intent matches to improve accuracy and relevance of results within the chatbot context. Designing conversational flows that provide a seamless and intuitive user experience. Strong focus on making the chatbot interactions as human-like and engaging as possible. Analyzing chatbot interaction data to identify patterns, trends, and areas for improvement. Preparing reports on chatbot performance metrics. Identifying and resolving issues related to chatbot performance, including debugging and updating the system as necessary. Ensuring the chatbot complies with data privacy laws and maintaining high standards of security, especially when handling sensitive user data. Working effectively with cross-functional teams, including business analysts, UX designers, and project managers. Good communication skills are essential. Collaborating effectively with AI Center of Excellence (CoE) sub-committee team members to incorporate established standards, adhere to CoE procedures, and ensure that solutions align with target architectures and technology roadmaps. Planning, initiating, and leading proof-of-concept (POC) efforts to evaluate emerging technologies. Technical writing using Word, PowerPoint, Visio, and SharePoint. Writing effective Gen AI Prompts to ensure proper Gen AI output that meets the business need and aligns with State of Ohio and JFS Gen AI standards. Creating Copilot plugins or custom copilots/agents using Copilot Studio. Automating workflows with Power Automate and integrating AI-driven logic. Building AI applications that retrieve and act on SharePoint, Teams, or Outlook data. Integrating AI applications with Microsoft Graph and enterprise data sources. Building proof-of-concept chatbots and agents that demonstrate business value. Collaborating with governance teams to align with compliance measures. Skills and Credentials Extensive knowledge of developing AI applications using Microsoft’s Bot Framework and Microsoft Copilot Studio. Familiarity with Azure services like Azure Bot Service, Azure AI Search, Azure AI Language Service, Azure Open AI, Graph API, Semantic Kernel, and Microsoft Copilot is very important. Ability to integrate chatbots with various Microsoft services such as Outlook, SharePoint, Teams, etc., [DH1] and third-party APIs to enhance functionality. Knowledge and experience with engineering effective Gen AI prompts, fine-tuning models, and implementing Retrieval Augmented Generation (RAG) approaches for Gen AI applications. Ability to develop and maintain existing AI Virtual Assistant using Google CCAI Services, create and utilize Looker Dashboards for performance monitoring of implemented chatbots is needed. Ability to develop and maintain Generative AI solutions using AWS Services ecosystem. Knowledge and experience with M365 solutions (SharePoint, Power Apps, Power Automate, Power BI, etc.). Ability to support SharePoint 2016 On-Prem applications. Ability to modernize SharePoint 2016 On-Prem applications to M365 technologies. Ability to facilitate and lead discussions with business SME’s. Ability to create and present Chatbot proposals and communicate both business and technical concepts. Ability to lead and conduct emerging technology analysis and conduct proof of concept initiatives. Experience in training and deploying AI models. Experience in leading efforts to create technology solutions and architectures impacting critical areas of the business. Ability to establish and maintain a high-level of customer trust and confidence. Ability to think critically and solve problems. Strong consultative skills at a cross-functional level. Experience Bachelor's degree in Computer Science, Information systems or related discipline, or equivalent and extensive related project experience; Master’s degree preferred. Five years of experience in IT, with 2 years SharePoint experience, five years .NET Developer experience. Three years’ AI Developer experience using Microsoft Bot Framework or Google CCAI platforms Minimum one year’s experience with Power Platform Solution development Minimum of five years of hands-on design and implementation experience in IT, with knowledge in a minimum of two of the following technical disciplines: #J-18808-Ljbffr Morph Enterprise