AI & Enterprise Integration Lead

Work Arrangement: We are seeking a hands-on Integration Lead to design and deliver enterprise integrations and support AI-enabled automation initiatives. The role involves working across contract lifecycle management and supplier AI projects. The ideal candidate has strong Python and API integration experience, can contribute to technical design discussions, and is comfortable coordinating with business, architecture, and engineering teams. Key responsibilities • Lead the design, development, testing, and deployment of enterprise integrations using Python and REST APIs. • Integrate procurement, contract management, risk management, and data platforms to support contract and supplier data flows. • Work with product owners and business analysts to understand requirements and implement approved data mappings. • Participate in design meetings and explain the technical impact of business decisions. • Use existing integration frameworks and follow standards for logging, error handling, security, and auditability. • Test APIs and integration workflows, troubleshoot issues, and document results for user acceptance testing. • Coordinate working sessions, requests, and dependencies with technical teams and project managers. • Support AI-enabled workflows, including prompt engineering and helping business users use AI tools. • Use approved AI-assisted development tools to support development and troubleshooting. • Coordinate code reviews, releases, and escalations with technical leads and team members. Required qualifications • Strong hands-on experience with Python and enterprise integration development. • Experience designing and consuming REST APIs, working with JSON, and using OAuth or other authentication methods. • Experience developing, testing, and troubleshooting integrations between enterprise applications. • Ability to contribute to solution design and explain technical tradeoffs to business and technical stakeholders. • Experience with Git-based workflows, code reviews, and CI/CD processes. • Knowledge of AI and LLM concepts, prompt engineering, and AI-assisted development. • Strong communication, documentation, and problem-solving skills. • Ability to manage work across concurrent projects and raise risks or blockers early. Preferred qualifications • Experience with contract lifecycle management, procurement, risk management, or data warehouse platforms. • Experience with cloud storage(AWS), serverless computing, and secrets management. • Familiarity with supplier data or third-party risk processes. • Experience with agentic AI, workflow orchestration, or AI automation. • Experience working in a regulated enterprise environment.