Lead AI initiatives and develop production-grade AI models using Agentic AI frameworks. Oversee Gemini Enterprise solutions, integrate secure systems, and enhance existing capabilities while collaborating across teams.

Design and develop web applications focusing on UI/UX, develop RESTful APIs, integrate BI dashboards, and ensure performance and security.

The MDM Specialist will architect and manage MDM platforms, ensuring data quality and governance while integrating AI workflows, optimizing for performance, and collaborating with business teams.

As an AI QA Specialist, you will develop and execute test strategies for AI systems, validate outputs, monitor observability, and ensure compliance.

The AI/Automation Business Analyst will gather requirements, design automation workflows, and create dashboards to support enterprise AI initiatives. The role involves collaborating with stakeholders and ensuring successful delivery of automation solutions.

As an AI/MLOps RAG Specialist, you will manage the lifecycle of AI models, implement MLOps pipelines, and optimize AI performance using GCP services to ensure compliance and reliable AI governance.

The AI Manager will lead global teams in AI delivery, ensuring strategic alignment with business goals, managing AI solutions, and upholding compliance standards.

The role involves driving the development and support of Oracle EBS HRMS modules, collaborating with stakeholders on HR processes, and customizing workflows. Key responsibilities include developing PL/SQL procedures, generating reports, and participating in Oracle HRMS implementations.

The Lead BI/ML Developer will architect and develop dashboards and conversational analytics solutions, integrate ML models, and optimize data workflows.

The Lead Graph DB Engineer will design, develop, and optimize graph-based data models using Neo4j, integrating with AI systems and ensuring performance, scalability, and security.

As a Lead BigQuery/Graph DBA, you will manage cloud-native data warehouses and optimize graph databases, focusing on data modeling, integration, and advanced analytics enablement.

Design, build, and operate production AI applications as a Full-Stack Developer, implementing LLM and SLM workflows using GCP services, and ensuring high performance and quality.

The Lead Data Engineer will design and optimize data architectures, develop ETL pipelines, and integrate graph databases for AI applications, enhancing analytics capabilities.

The O365 Engineer will develop and manage Exchange Online and Teams, configure anti-spam policies, oversee user accounts, and support M365 services.

The Sr Okta Engineer will join the IAM team, focusing on managing and developing IAM platforms, particularly Okta, while supporting integrations and ensuring system health. Responsibilities include user onboarding, access management, and mentoring junior team members.

The role focuses on strategic sourcing for services, contract management, supplier negotiations, and relationship management in a multi-national environment.