The Forward Deployed Strategist will identify high-value business problems and lead cross-functional teams to implement and scale effective solutions. They are responsible for driving organizational change, managing project lifecycles, and ensuring measurable business outcomes through evidence-based decision-making.
The Senior Lead Engineer will establish and maintain integrations between Sales Cloud and external platforms while managing Salesforce platform settings and user access. They are also responsible for designing, building, and documenting scalable solutions using both declarative tools and programmatic development.
The Sr. Engineer will serve as a key technical leader, providing architectural oversight and day-to-day leadership for the HCM integration landscape. They will partner with stakeholders on roadmap planning, vendor management, and ensuring the redundancy and reliability of critical business systems.
The Applied AI Architect will design scalable enterprise AI systems, integrating data pipelines, models, and governance frameworks. They will partner with engineering teams to transition AI solutions from proof-of-concept into secure, production-ready environments.
The QA Engineer will identify software weaknesses, create and execute test cases, and maintain automation suites. They will also collaborate with cross-functional teams to resolve bugs and ensure timely project delivery.
The Architect will design and scale enterprise-grade AI agents, autonomous workflows, and LLM-powered applications. They are responsible for defining reference architectures and integrating AI solutions across various business functions.
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.
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.
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.
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.
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.
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.
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.
