Sr Data Integration Engineer_AI

As a Senior Integrations Engineer, you will design, build, and deploy scalable integration solutions and automations across enterprise systems, while developing AI-driven chatbots and intelligent workflows. You will work closely with business and technical teams to streamline operations, ensure data accuracy, and enhance productivity. Key Responsibilities: Champion Celigo's integration platform through transformational, scalable solutions that drive business growth. Design, build, and maintain data pipelines leveraging modern cloud architectures. Develop AI chatbots and intelligent automation solutions for internal stakeholders. Integrate Large Language Models (LLMs) such as OpenAI GPT, Google Gemini, or Anthropic Claude with APIs, vector databases, and enterprise platforms. Ensure adherence to engineering best practices, emphasizing data quality, security, and operability. Collaborate with business process experts to solve complex integration challenges in domains like Sales, Customer Success, Finance, and HR. Produce technical documentation, support processes, and ensure smooth knowledge transfer. Manage multiple projects concurrently and serve as the final escalation point for integrations. Required Qualifications & Experience: 5+ years of experience designing and building enterprise integration solutions. Proven experience developing AI agents or chatbots for business workflows. Expertise with iPaaS platforms (Celigo, Snaplogic, Boomi, MuleSoft). Strong knowledge of REST and SOAP APIs, JSON and XML schema design. Proficient in JavaScript for integration data processing. Familiarity with authentication mechanisms: OAuth 2.0, SAML2, JWT Bearer Tokens. Hands-on experience with cloud applications like Salesforce, HubSpot, NetSuite, Zendesk, Gong, Gainsight, etc. Experience with SQL, Snowflake stored procedures, AWS S3, Redshift, and integration design patterns. Working knowledge of Agent SDKs, Model Context Protocol; Python is a plus.