AI Architect - Infoorigin Inc

Job Description

• The Client is seeking an experienced AI Engineer, with expertise in context engineering and agent design who will develop AI solutions in Microsoft and Google ecosystems. Responsibilities include building conversational agents, integrating with natural language processing or generative AI, and agents/ virtual assistants to software applications. AI Engineer is responsible for designing and delivering data access through APIs and ensuring that these solutions are securely deployed.

Responsibilities include:

• Developing applications that interact with web services, APIs, and other software applications.
• Designing 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.
• Implementing and tuning Natural Language Processing techniques to improve AI assistants’ understanding and response accuracy.
• Training and deploying AI models, and monitoring solution performance by creating and utilizing Dashboards.
• Creating custom indexes, managing data sources, and tuning intent matches to improve accuracy and relevance of results within the AI solution context.
• Designing 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.
• Analyzing agent interaction data to identify patterns, trends, and areas for improvement. Preparing reports on agent performance metrics.
• Identifying and resolving issues related to agent performance, including debugging and updating the system as necessary.
• Ensuring the AI agent/ conversational assistant 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, project managers, and business customers and business SMEs from across the enterprise. Good communication skills are essential.
• Collaborating 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.
• Ensuring that AI systems operate safely, transparently and within acceptable boundaries in alignment with the organization’s governance policies and practices.
• Planning, initiating and spearheading proof of concept (POC) initiatives using emerging technologies.
• Technical writing leveraging tools such as Word, PowerPoint, Visio, SharePoint, and Excel to develop presentations and white papers.

Skills and Credentials: