Generative AI Solutions Application Development Lead Senior Vice President

For additional information, please review .* Strategic Platform Leadership: Design and architect a cutting-edge, end-to-end platform for image digitization, integrating Generative AI technologies with a focus on scalability, reliability, and performance.* AI/ML Innovation: Drive the implementation of RAG-based architectures and leverage multimodal capabilities of commercial Large Language Models to build intelligent applications, including search, chat agents, and guided analytics.* Engineering Excellence: Implement and champion best DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline development and deployment.* Team Leadership & Development: Lead, mentor, and grow a high-performing team of developers and analysts, fostering a culture of technical excellence, continuous learning, and innovation. Recruit top talent and ensure professional growth for all team members.* Project & Risk Management: Oversee the Book of Work deliverables, manage project goals, and proactively mitigate risks. Adapt quickly to changing priorities, ensuring the team pivots effectively to meet evolving business needs.* Cross-Functional Collaboration: Influence and negotiate with senior leaders and external partners. Lead technical design discussions, negotiating feature sets and guiding development efforts across integrating applications.* Compliance & Ethical Conduct: Appropriately assess and manage technical and business risks, safeguarding the firm's reputation and assets. Ensure compliance with applicable laws, regulations, and internal policies, exercising sound ethical judgment.* Product Partnership: Collaborate closely with Product Development to align on priorities, roadmaps, and feature delivery.* 10+ years of progressive industry experience in systems architecture and software development, with a strong emphasis on Data Processing, AI/ML, and DevOps.* 8+ years proven experience designing and implementing large-scale, complex microservices architectures in cloud environments (e.g., single/multi-tenant solutions on AWS, Azure, GCP).* 8+ years experience and comprehensive understanding of software development lifecycle, microservices architecture, and API design principles.* 5+ years hands-on experience with Python as a primary development language, complemented by full-stack application development.* 5+ years experience with DevOps tools (Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.* 5+ years experience in Generative AI technologies, including proficiency in AI/ML frameworks (e.g., Langchain) and practical experience building applications with Large Language Models.* Experience with diverse data storage solutions (NoSQL, SQL, data lakes) and pipeline orchestration.* Demonstrated leadership abilities in managing and mentoring engineering teams, setting development standards, and driving project execution.* Exceptional analytical, problem-solving, and troubleshooting skills, with a track record of delivering innovative solutions and improving performance.* Lead the build-out of an intelligent document processing platform for the Services Technology Business.* Directly work with product partners, developing project plans, and constructing comprehensive roadmaps.* Engage in building robust workflow libraries to enhance platform capabilities.* Demonstrable portfolio of significant software applications developed over the last 5 years.* Experience with full life cycle software development, emphasizing Generative AI integration. #J-18808-Ljbffr