Senior AI Integration Engineer (Workato)

About The Role In this role, you will design, build, and maintain intelligent integrations across enterprise applications, AI services, and data platforms. This role combines hands-on Workato development with AI tool integration, API engineering, workflow automation, and data management. Responsibilities Design and implement integrations and automated workflows using WorkatoConnect enterprise platforms, databases, APIs, and AI services using prebuilt connectors, custom connectors, webhooks, and REST/SOAP APIsIntegrate generative AI, machine learning, NLP, document-processing, and intelligent automation tools into business workflowsDevelop AI-enabled solutions such as copilots, knowledge assistants, document extraction, classification, summarization, and decision-support workflowsDesign secure data pipelines, mappings, transformations, validation rules, and synchronization processesEstablish data-quality, governance, lineage, retention, privacy, and access-control practicesBuild reusable integration components and define standards for error handling, logging, monitoring, retry logic, and alertingImplement responsible-AI controls, including human review, prompt safeguards, output validation, and protection of sensitive dataTroubleshoot production integrations, resolve performance issues, and conduct root-cause analysisCollaborate with business stakeholders, architects, security teams, data engineers, and application ownersProduce technical designs, data-flow diagrams, test plans, runbooks, and operational documentationSupport testing, deployment, release management, and continuous improvement of integration solutions Requirements Bachelor’s degree in computer science, engineering, information systems, or equivalent professional experience3+ years of experience in integration engineering, automation, data engineering, or a related roleHands-on experience building and supporting production workflows in WorkatoStrong understanding of recipes, connections, triggers, actions, callable recipes, lookup tables, environments, and error handlingExperience with REST APIs, webhooks, JSON, XML, OAuth 2.0, API keys, and common authentication patternsExperience integrating AI services, large language models, or machine-learning APIs into business processesProficiency in SQL and experience working with relational databases, cloud data platforms, or data warehousesKnowledge of data mapping, transformation, validation, deduplication, synchronization, and master-data conceptsExperience with Git, CI/CD practices, testing, monitoring, and production supportWorkato Automation Pro or a related Workato certification is considered an advantagePrevious experience with platforms such as Salesforce, ServiceNow, NetSuite, Workday, SAP, Snowflake, Databricks, or Microsoft Dynamics is highly valuedExposure to AI platforms and tools such as OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or Anthropic is a plusFamiliarity with retrieval-augmented generation (RAG), vector databases, embeddings, prompt engineering, or AI-agent workflows is beneficialKnowledge of Python or JavaScript for custom integration logic is an additional assetStrong analytical, troubleshooting, documentation, and stakeholder-communication skills SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.