AI Solutions Engineer – Transformative AI Integration ProjectAbout the Client:Our client is a global leader in energy solutions, dedicated to leveraging cutting-edge technology to drive innovation. They are building an advanced Data Verse to revolutionize data integration and utilization across their operations. This transformative project combines AI and data engineering to deliver actionable insights and streamlined workflows, offering a unique opportunity to be part of a groundbreaking initiative.Role Overview:We are seeking an AI Solutions Engineer to lead the development of an Agentic AI system integrated with our clients Data Verse. This system will analyse complex data inputs—such as field images of equipment—and generate actionable outputs, including detecting corrosion and automating the ordering of replacement parts.The ideal candidate will possess expertise in Azure AI Services, Co-Pilot development, and advanced AI technologies, driving the creation of a responsive, intelligent, and user-friendly AI solution.Key Responsibilities:Agentic AI Development: Build a responsive AI system using Azure AI Services capable of proactive and autonomous interactions.Co-Pilot Integration: Develop a Co-Pilot-based AI assistant to streamline workflows for field engineers and technicians.Data Integration: Design scalable and reliable systems for multi-layered data integration within the Data Verse.Image Recognition: Implement image recognition capabilities for equipment diagnostics, including corrosion detection, part identification, and automated order placement.Azure AI Tools: Leverage tools such as Cognitive Services, Form Recognizer, and Vision APIs to deliver advanced functionality.Collaboration: Work closely with data engineers, field technicians, and product managers to ensure alignment with business objectives.Security & Optimization: Ensure the solution is secure, robust, and optimized for real-time interaction.Required Skills and Qualifications:Proven expertise in deploying AI solutions using Azure AI Services.Strong knowledge of Co-Pilot development and embedding AI assistants into enterprise workflows.Hands-on experience with Agentic AI systems, capable of making recommendations and autonomously responding to inputs.Proficiency in machine learning techniques, including image recognition and natural language processing (NLP).Strong programming skills in Python, C#, or other relevant languages.Experience with large-scale data integration and managing structured data layers.Familiarity with tools like Azure Cognitive Services, Computer Vision APIs, and Generative AI APIs.Expertise in AI-driven automation and process optimization workflows.Excellent problem-solving skills and the ability to thrive in dynamic, fast-paced environments.