Enter your details and select criteria for the jobs you want to receive.
Brillio is seeking an AI/Agentic AI Architect in New York to design, build, and scale secure, governed, production-ready AI agents, autonomous workflows, and LLM-powered enterprise applications.
Brillio is seeking a Lead Systems Engineer – Amazon Connect to design, implement, and support secure, scalable cloud contact center solutions for healthcare payer and provider environments.
Senior Engineer responsible for implementing and optimizing Apttus CPQ solutions in a remote India-based role, with a focus on complex pricing, quoting, billing, and order management processes.
Brillio is hiring a client-embedded AI engineer to design, prototype, and scale healthcare-focused AI solutions for enterprise organizations.
Brillio is hiring an AI engineer to work directly with healthcare clients on identifying business problems and rapidly building and scaling production-ready AI solutions.
Brillio is hiring a client-embedded AI engineer to work with healthcare stakeholders on building and scaling production-ready AI solutions for healthcare operations and clinical workflows.
Brillio is hiring a Databricks Architect to lead the design and implementation of enterprise Data & AI platforms for analytics, modernization, and AI adoption.
Brillio is hiring a Principal Data Scientist to lead advanced statistical and machine learning work for large-scale data and AI projects supporting client business impact.
Brillio is hiring a Forward Deployed Engineer in Jersey City to work directly with healthcare clients to turn ambiguous operational problems into AI solutions, prototypes, and production-ready systems.
Senior Full Stack Developer at Brillio joining the Digital Engineering team in Romania to build secure, scalable enterprise payments applications that support payment processing, transaction management, and financial integrations.
Senior Data Scientist at Brillio Romania within the AI & Data Engineering team responsible for developing, experimenting with, and deploying production-ready machine learning and computer vision solutions on Azure to solve image-processing use cases and deliver business insights.
