AI Solutions Architect

Overview AI Solutions Architect role at Chubb. Chubb is a world leader in insurance with operations in 54 countries, offering commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance. Key Objectives Chubb is seeking an outstanding AI Solution Architect to help scale our Large Language Model (LLM) program. This role blends providing strategic vision, architecting AI solutions, and guiding solution delivery to drive enterprise transformation through AI at a global scale. As An AI Solution Architect, You Will Develop Innovative AI Solutions: Design and architect robust AI solutions that address complex business challenges, enhancing operational efficiency and driving competitive advantage. Ensure Scalability and Performance: Deliver high-performance AI systems that can scale effectively with increased data volume and user demands while maintaining low latency. Implement Best Practices: Establish and promote best practices for AI development, deployment, and maintenance, ensuring high code quality and performance standards across all AI initiatives. Enhance Model Performance: Continuously monitor and fine-tune AI models, focusing on real-world application and performance metrics to improve outcomes and user satisfaction. Facilitate Knowledge Sharing: Provide guidance and mentorship to team members, fostering a collaborative environment that encourages knowledge sharing and continual skills development in AI technologies. Drive Adoption of AI Technologies: Promote and advocate for the adoption of AI technologies within the organization by demonstrating their business value and effectiveness in solving real-world problems. Maintain Compliance and Security Standards: Ensure that all AI solutions adhere to industry regulations and best practices in data privacy, security, and ethical AI use. Major Responsibilities Solution Design: Lead the design and architecture of AI solutions tailored to meet specific business needs, ensuring scalability, maintainability, and performance of the systems. Technology Evaluation: Assess and recommend appropriate AI frameworks, tools, and technologies that align with project requirements and organizational goals. Cross-Functional Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to gather requirements and translate them into effective AI solutions. AI Model Development Oversight: Oversee the development, testing, and deployment of AI models, ensuring they adhere to best practices in machine learning and AI methodologies. Data Strategy: Develop a data strategy that includes data collection, preprocessing, and management protocols to ensure high-quality input for AI systems. Performance Optimization: Evaluate the performance of AI solutions and implement optimizations to improve efficiency, including tuning models and refining algorithms. Documentation and Compliance: Create and maintain comprehensive documentation for AI architectures, procedures, and protocols while ensuring compliance with relevant regulations and standards. Stakeholder Communication: Act as a primary communication link between technical teams and business stakeholders, effectively conveying project status, challenges, and benefits of AI initiatives. Mentorship and Guidance: Provide mentorship and guidance to junior team members, fostering a culture of continuous learning and improvement in AI practices. Stay Current with Trends: Keep abreast of the latest trends, technologies, and advancements in the AI and machine learning landscape, integrating new knowledge into architectural designs as appropriate. Qualifications Required Educational Background: Bachelor’s or Master’s degree (preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field. Professional Experience: 5+ years of experience in software engineering, data engineering, or AI-related roles, with at least 3 years focused on AI solution design and architecture. Technical Expertise: Strong proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and expertise in AI model development. In-depth knowledge of AI technologies, including NLP, computer vision, and deep learning. Architecture Skills: Proven experience designing and implementing scalable AI architectures and systems in production environments. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services. Strong Programming Skills: Proficiency in programming languages commonly used in AI development, particularly Python. Knowledge of Java, C++, or R is a plus. Cross-Functional Collaboration: Demonstrated ability to work collaboratively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders. Problem-Solving Skills: Strong analytical and problem-solving skills, with a proven track record of addressing complex business challenges through innovative AI solutions. Knowledge of AI Lifecycle: Familiarity with the AI development lifecycle, including data collection, preprocessing, model training, validation, and deployment. Adaptability and Continuous Learning: A commitment to staying updated with the latest trends and advancements in AI and machine learning, and a willingness to adapt architectural approaches accordingly. Leadership Qualities: Strong leadership skills to provide guidance and mentorship to junior team members and foster a culture of collaboration and knowledge sharing. Compliance, Privacy and Security Considerations: Awareness of compliance, ethical considerations, and best practices related to data privacy, security, and the responsible use of AI technologies. Preferred Data Management Acumen: Experience in data modeling, data management, and data pipeline development. Understanding of database technologies, including SQL and NoSQL databases. Experience in Financial Industry is a plus. Familiarity with InfoSec/privacy concerns for LLMs and best practices for responsible AI. Full-stack product development experience. At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs. For additional information about Chubb or its services, please visit our website at . #J-18808-Ljbffr