Orion Innovation

AI Engineer

• Design and develop AI agents using frameworks such as LangGraph and MCP for Workday use cases
• Build AI-driven experience layers using CopilotKit, Vercel AI SDK, or similar tools
• Enable scalable AI deployments on AWS or Azure
• Develop AI assets and integration frameworks supporting AI SDLC
• Design and implement Workday integrations using Workday APIs and integration tools (Studio, EIB, REST/SOAP)
• Work with Workday data structures (HCM, Finance) for context-aware AI solutions
• Integrate AI agents with incident/ticketing systems (e.g., ServiceNow)
• Collaborate with Workday functional and technical teams to deliver solutions
• Support automation of service requests, diagnostics, and operational workflows

Workday AI Engineer

Full-stack Engineer

• Design, develop, and deploy AI-enabled solutions and components that enhance delivery capabilities and drive measurable business outcomes.
• Build, test, and optimize machine learning models, data pipelines, and AI workflows to ensure performance, scalability, and reliability.
• Collaborate with Tech Leads, product managers, and cross-functional stakeholders to translate business requirements into technical solutions.
• Integrate AI models and data-driven capabilities into existing platforms, applications, and enterprise workflows.
• Develop and maintain data pipelines to support efficient data ingestion, transformation, and feature engineering.
• Apply best practices in model development, evaluation, and monitoring, including performance tuning and continuous improvement.
• Ensure adherence to CT&I standards, approved technology stacks, and engineering practices across all development activities.
• Implement appropriate controls for data security, privacy, and responsible AI usage within solutions.
• Conduct unit testing, debugging, and troubleshooting to ensure high-quality and reliable solution delivery.
• Contribute to documentation, including technical design, model behavior, and implementation details to support maintainability and reuse.
• Support deployment, integration, and ongoing maintenance of AI solutions in production environments.
• Stay current with emerging AI/ML technologies and contribute to innovation and continuous improvement within the pod.

Technical Lead

• Design and develop AI agents using frameworks such as LangGraph and Model Context Protocol (MCP) for Oracle use cases
• Build AI agent experience layers using tools like CopilotKit, Vercel AI SDK, or similar
• Enable AI workloads on AWS, Azure, or Oracle Cloud Infrastructure (OCI)
• Develop AI coding assets and MCP-based integrations to support AI SDLC · Design and implement integrations with Oracle systems (Oracle Fusion, EBS, OCI services) using REST/SOAP APIs
• Work with Oracle data models to enable context-aware AI workflows
• Integrate AI solutions with incident and ticketing systems (e.g., ServiceNow)
• Collaborate with Oracle functional, technical, and infrastructure teams for delivery
• Support diagnostics, automation, and optimization of Oracle managed services operations

• Lead the development and deployment of Generative AI applications and systems.
• Design and optimize solutions using Large Language Models and frameworks like langchain.
• Collaborate with stakeholders to identify business needs and translate them into technical solutions.
• Create robust Python-based implementations to enhance AI capabilities and scalability.
• Stay current with emerging AI technologies to ensure the adoption of best practices.
• Mentor team members and foster a culture of continuous learning and improvement.
• Monitor performance of deployed solutions and implement enhancements as needed.

Workday AI Engineer

Technical Lead

AI Engineer

Lead Gen AI Engineer