You must have:

Experience with supporting 3rd party application Application suite at XYZ is IBM Aspera (Shares, Faspex, HSTS, Console).

Experience with any other corporate integrated file transfer tools is also a plus, especially if functionally is like Aspera.

Follow up ticket queue in ServiceNow and coordinate a solution Application upgrades and configuration changes (DEV/PROD) Assist other IT Infra teams based on support documentation (SOP) Log and follow up of support tickets with vendor IBM Continuously review and update existing server and application documentation Build usage reports & conclusions to present to IT Management

Understanding of security and access controls: coordinate with Security and other Infra teams on Single Sign On (SAML) PKI & public certificates Firewall policies VIP/Load Balancing setup for internal and external facing URLs Bot protection protocols

Overview:

We’re looking for a Senior Ivalua Technical Specialist to lead end-to-end procurement transformation initiatives. This role requires deep technical expertise in Ivalua configuration, integrations, and data architecture, along with a strong understanding of source-to-pay processes.

Responsibilities:

• Lead full lifecycle Ivalua implementations from design to deployment
• Configure and customize Ivalua modules based on business requirements
• Design and develop integrations using APIs and ETL processes
• Build and optimize SQL queries for data management and reporting
• Integrate Ivalua with external systems (preferably SAP ECC)
• Provide technical leadership and mentorship to junior team members
• Troubleshoot complex technical issues and ensure system stability
• Collaborate with functional teams to align technical solutions with business goals

We are looking for a Generative AI Engineer to design, build, and deploy AI-powered applications using large language models (LLMs) and other generative models. The role involves developing scalable AI systems, integrating APIs, and ensuring high-quality outputs for real-world use cases.

Responsibilities:

• Build and deploy applications using LLMs (e.g., chatbots, copilots, automation tools)
• Design prompt strategies and optimize outputs for accuracy and relevance
• Fine-tune and evaluate models when needed
• Develop pipelines using frameworks like LangChain, LlamaIndex, or similar
• Integrate AI models with backend systems and APIs
• Implement RAG (Retrieval-Augmented Generation) systems
• Ensure data privacy, security, and compliance in AI workflows
• Monitor performance, reduce hallucinations, and improve reliability
• Collaborate with product, engineering, and data teams