Data and AI Forward Deployed Engineer

Aon is a global organization focused on helping people and clients make better decisions. The Data and AI Forward Deployed Engineer will design, deploy, and integrate scalable data pipelines and AI/ML solutions using cloud-based services, primarily AWS. The role also involves requirements management, automation, systems architecture, project and risk management, documentation, and client support.

Responsibilities:

• Collaborate with data scientists, AI researchers, and business stakeholders to understand client requirements and translate them into technical specifications for AI/ML solution deployment
• Design, develop, and implement robust and scalable data pipelines and AI/ML model deployment strategies utilizing cloud-based services, primarily AWS
• Integrate AI/ML solutions into existing enterprise systems, ensuring seamless system integration and data flow
• Utilize Agile methodologies for project execution, ensuring timely delivery and iterative development of AI/ML products
• Apply principles of Systems Engineering and Model-Based Systems Engineering (MBSE) to ensure comprehensive system design, architecture, and documentation
• Develop and implement automation technologies for continuous integration, continuous deployment (CI/CD) of AI/ML models and data products
• Manage project timelines, resources, and risks effectively, applying strong Project Management and Risk Management principles
• Conduct thorough requirements management, ensuring solutions meet defined business needs and technical specifications
• Develop and maintain clear documentation for system designs, architectures, and operational procedures
• Provide technical expertise and support to clients on deployed AI/ML solutions, troubleshooting issues and ensuring optimal performance

Requirements:

• • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, a related quantitative field, or equivalent years of industry experience
• • Proven experience with Agile Methodology in a professional environment
• • Strong proficiency in Python (Programming Language) for data manipulation, scripting, and AI/ML development
• • Extensive experience with Amazon Web Services (AWS) for deploying and managing cloud-based services and infrastructure
• • Demonstrated expertise in Cloud Computing and Cloud Based Services, particularly in the context of data and AI applications
• • Solid understanding of Systems Engineering principles, including System Designs, Systems Architecture, and System Integration
• • Familiarity with Enterprise Architecture Frameworks
• • Proven ability in Automation Technology for deployment and operational tasks
• • Strong Project Management skills with experience in managing complex technical projects
• • Experience with Requirements Management and defining technical specifications
• • Understanding of Risk Management principles, especially in the context of technology deployment
• • Experience with Model-Based Systems Engineering (MBSE) is a plus