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Managing architecture strategies and ensuring alignment with standards and governance at MetLife. Leading the design of future-state architectures and collaborating with senior management across LATAM.
As a Cloud Data Engineer at MetLife, lead the design and development of cloud-enabled applications, create data pipelines, integrate solutions, and support AI and ML apps. Collaborate with cross-functional teams, provide technical support, and ensure best practices. Required: 5+ years of software development experience, expertise in cloud-native data tools, database setup, and strong communication skills. Bachelor's degree in relevant field. Preferred: Experience with ETL tools, Power BI, Azure cloud technologies, and modern AI concepts.
Develop new modules in GSS1hub, analyze user requirements, collaborate with team, communicate designs and issues, and learn new technologies.
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Lead the execution of end-to-end data & AI solutions for key insurance business functions, collaborate with stakeholders to develop scalable and responsible AI data solutions, consult on business challenges, develop AI solutions tailored to business needs, evaluate and choose AI tools, collaborate with data scientists and architects, develop AI architecture, roadmaps, and PoC prototypes, document proposed solutions, and communicate technical concepts effectively.
Lead the transition from legacy document systems to modern platforms for customer communication management and enterprise content management. Design solutions, develop proof of concepts, provide technical direction, and oversee multi-phased initiatives. Manage teams, develop application roadmap, integrate DevOps practices, establish best practices in software development, utilize agile metrics, manage financials and budgets, oversee vendors.
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Looking for an experienced Principal AI Engineer to research, develop, and implement responsible use of AI for superior customer service and market differentiating capabilities. Responsible for managing R&D processes, leading cross-functional teams, and advising on technology, strategy, and policy issues associated with AI.
Lead Full Stack Software Engineer responsible for solution architecting and building the Data Warehouse platform and Reporting capabilities for Asset Management using Microsoft Azure services. Collaborates with product teams, leads Agile DevSecOps-enabled software development, and ensures enterprise standards compliance. Requires 8-12 years of software development experience with expertise in implementing data warehouse and reporting solutions, Azure Cloud services, and a security and compliance mindset.
Responsible for developing effective and scalable Python codes, designing and implementing robust applications, debugging applications for low-latency and high-availability, and integrating user-facing elements with server-side logic. Collaborates with cross-functional teams, improves organizational processes, and coaches team members. Requires 5+ years of experience in Python development, UI development using HTML and CSS, and writing JavaScript/jQuery for validations and submissions. Proficient in Agile methodology and CI/CD pipelines for Python apps.
Seeking a Senior Full Stack Software Engineer to enhance technical delivery of cloud solutions for Investments Projections and Planning platform. Responsibilities include solution architecting, software development, and automation on Microsoft Azure. Must have extensive experience with Angular, .Net, Azure, and DevOps practices.
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