The Junior Associate will manage the end-to-end recruitment process for technology roles, including sourcing, screening, and offer negotiation. They will collaborate with hiring managers to define requirements and maintain talent pipelines for specialized domains like AI and Cybersecurity.
The Lead Systems Engineer will design, implement, and optimize cloud-based contact center solutions using Amazon Connect for healthcare environments. This role involves leading technical delivery, managing integrations, and ensuring regulatory compliance while supporting high-volume operational workflows.
The Business Systems Analyst will support Amazon Connect contact center and IVR migration initiatives from discovery through implementation and post-production support. They will gather and document business requirements, facilitate stakeholder workshops, and collaborate with cross-functional teams to ensure successful project delivery.
The role involves working as a consultant, focusing on software development and Pega platform implementation. You will be responsible for building and maintaining complex systems using Salesforce and Pega technologies.
Design and implement advanced pricing customizations and configure Apttus CPQ modules to streamline quoting and sales processes. Troubleshoot technical issues and conduct system testing to ensure optimal performance and user adoption.
The Associate Director will define future-state product management roles and develop robust competency models for complex organizational structures. They will also lead capacity planning and workforce transition frameworks while collaborating with leadership to align product strategy with AI-enabled development models.
Engage with business stakeholders to identify high-value AI opportunities and design full-stack AI prototypes that solve complex healthcare operational problems. Partner with governance teams to harden these prototypes into production-grade, enterprise-ready systems while maintaining clear communication with executive leadership.
Engage with business stakeholders to identify and design high-value AI solutions that address complex healthcare operational challenges. Develop and deploy full-stack AI prototypes and production-grade applications while ensuring compliance with governance and regulatory standards.
Lead the design and implementation of enterprise-scale Data and AI platforms, focusing on scalable architectures and governance. Drive the adoption of Generative AI and Agentic AI solutions to modernize business capabilities.
Design and implement robust statistical models and machine learning algorithms for large-scale predictive analytics. Lead end-to-end data science projects and mentor junior scientists to drive measurable business impact.
The role involves discovering high-value AI opportunities within healthcare operations and designing end-to-end AI prototypes. You will be responsible for scaling these solutions into production-grade systems while engaging directly with executive stakeholders.
Lead large-scale digital transformation initiatives focusing on cloud migration, application modernization, and SaaS enablement. Act as a strategic advisor to executive leadership while governing enterprise architecture frameworks and standards.
Design, develop, and maintain end-to-end full stack solutions for a mission-critical enterprise payments platform using Java and React. Collaborate with cross-functional teams to ensure high availability, performance, and security of payment processing systems.
The Lead AI Engineer is responsible for designing, implementing, and productionizing scalable AI and computer vision solutions on Microsoft Azure. They will also define engineering best practices, mentor team members, and ensure the reliability and performance of AI services.
The Senior Data Scientist will develop and deploy advanced machine learning and computer vision solutions using Azure. They will collaborate with data engineers to build scalable pipelines and communicate insights to stakeholders.
The Fullstack Engineer will build, design, and maintain robust web applications using Node.js or Python for the backend and React for the frontend. They will also develop and enhance RESTful APIs and microservices to ensure seamless integration with other systems.
