Lead AI EngineerRemote
Description:Diversified Systems is searching for an experienced Lead AI Engineer with expertise in context engineering and agent design who will develop AI solutions in Google, AWS and Microsoft ecosystems and will have the opportunity to mentor and lead AI engineers in the team. Responsibilities include building and/or mentoring AI engineers to build conversational agents, integrating with natural language processing or generative AI, and agents/virtual assistants to software applications. The AI Engineer is responsible for designing and delivering data access through APIs and ensuring that these solutions are securely deployed.
Responsibilities:- Develop applications that interact with web services, APIs, and other software applications.
- Mentor and lead AI design and development efforts as needed.
- Conduct peer reviews for AI design and development efforts to ensure existing standards are adhered to and establish additional standards as needed.
- Design the overall structure of Agentic AI solutions, including determining necessary features, user flow, API development and integration with other systems. Requires understanding of API design principles and specific constraints of AI service interfaces.
- Implement and tune Natural Language Processing techniques to improve AI assistants' understanding and response accuracy.
- Train and deploy AI models, and monitor solution performance by creating and utilizing dashboards.
- Create custom indexes, manage data sources, and tune intent matches to improve accuracy and relevance of results within the AI solution context.
- Design conversational flows that provide a seamless and intuitive user experience, with strong focus on making the agent interactions as human-like and engaging as possible.
- Analyze agent interaction data to identify patterns, trends, and areas for improvement. Prepare reports on agent performance metrics.
- Identify and resolve issues related to agent performance, including debugging and updating the system as necessary.
- Ensure the AI agent/conversational assistant complies with data privacy laws and maintains high standards of security, especially when handling sensitive user data.
- Work effectively with cross-functional teams, including business analysts, UX designers, project managers, and business customers and business SMEs from across the enterprise. Good communication skills are essential.
- Collaborate effectively with Automation Center of Excellence (CoE) team members, incorporating the established standards; adhering to organization process and ensuring that solutions align with target architectures and technology roadmaps.
- Ensure that AI systems operate safely, transparently and within acceptable boundaries in alignment with the organization's governance policies and practices.
- Plan, initiate and spearhead proof of concept (POC) initiatives using emerging technologies.
- Perform technical writing leveraging tools such as Word, PowerPoint, Visio, SharePoint, and Excel to develop presentations and white papers.
Requirements:- Bachelor's degree in Computer Science, Information Systems or related discipline, or equivalent and extensive related project experience required.
- 6 years of experience in IT, with at least 4 years AI Conversational Agents and/or Generative AI combined implementation experience using Microsoft, Google and AWS ecosystems required.
- 2 years of AI Engineer experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants required.
- 2 years of experience developing Enterprise Looker Dashboards to monitor AI Agent performance required.
- 2 years of AI Engineer experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions required.
- Extensive knowledge and experience developing AI Conversation agents using Google tools such as CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, and/or Google CCAI Services required.
- Experience in creating and maintaining Enterprise Looker Dashboards for monitoring performance of implemented AI Agents required.
- Experience developing Generative AI solutions in AWS ecosystem including but not limited to AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions required.
- Ability to develop AI agents/virtual assistants using Microsoft Foundry with Azure services like Azure AI Search, and Azure AI Language Service, Microsoft Power Platform and Microsoft CoPilot Studio required.
- Ability to integrate virtual assistants with various Microsoft services (such as Office 365, SharePoint) and third-party APIs to enhance functionality required.
- Deep understanding of API design principles and specific constraints of AI service interfaces required.
- Strong programming skills in languages such as C#, .NET, JavaScript, or Python required.
- Experience in developing, testing, and deploying chatbot applications required.
- Ability to facilitate and lead discussions with business SMEs required.
- Ability to create and present AI solution proposals and communicate both business and technical concepts required.
- Ability to lead and conduct emerging technology analysis and conduct proof of concept initiatives required.
- Experience in training and deploying AI models required.
- Experience in leading efforts to create technology solutions and architectures impacting critical areas of the business required.
- Ability to establish and maintain a high-level of customer trust and confidence required.
- Ability to think critically and solve problems required.
- Strong consultative skills at a cross-functional level required.
- 6 years of hands-on design and implementation experience in IT, with knowledge in a minimum of two of the following technical disciplines required.
- Application development required.
- Network design required.
- Middleware required.
- Servers and storage required.
- Database management required.
- Operations required.
- Artificial intelligence and machine learning fundamentals required.
- Natural language processing (NLP) and large language model (LLM) integration required.
- Master's degree highly desired.
- Agentic AI Developer Experience using Microsoft Foundry highly desired.
- Experience developing and maintaining SharePoint online solutions using MS Power Platform highly desired.
- Google and AWS Certifications relevant to this role highly desired.
