Senior AI Integration Engineer (Workato)

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 Workato
• Connect enterprise platforms, databases, APIs, and AI services using prebuilt connectors, custom connectors, webhooks, and REST/SOAP APIs
• Integrate generative AI, machine learning, NLP, document-processing, and intelligent automation tools into business workflows
• Develop AI-enabled solutions such as copilots, knowledge assistants, document extraction, classification, summarization, and decision-support workflows
• Design secure data pipelines, mappings, transformations, validation rules, and synchronization processes
• Establish data-quality, governance, lineage, retention, privacy, and access-control practices
• Build reusable integration components and define standards for error handling, logging, monitoring, retry logic, and alerting
• Implement responsible-AI controls, including human review, prompt safeguards, output validation, and protection of sensitive data
• Troubleshoot production integrations, resolve performance issues, and conduct root-cause analysis
• Collaborate with business stakeholders, architects, security teams, data engineers, and application owners
• Produce technical designs, data-flow diagrams, test plans, runbooks, and operational documentation
• Support testing, deployment, release management, and continuous improvement of integration solutions

• Bachelor’s degree in computer science, engineering, information systems, or equivalent professional experience
• 3+ years of experience in integration engineering, automation, data engineering, or a related role
• Hands-on experience building and supporting production workflows in Workato
• Strong understanding of recipes, connections, triggers, actions, callable recipes, lookup tables, environments, and error handling
• Experience with REST APIs, webhooks, JSON, XML, OAuth 2.0, API keys, and common authentication patterns
• Experience integrating AI services, large language models, or machine-learning APIs into business processes
• Proficiency in SQL and experience working with relational databases, cloud data platforms, or data warehouses
• Knowledge of data mapping, transformation, validation, deduplication, synchronization, and master-data concepts
• Experience with Git, CI/CD practices, testing, monitoring, and production support
• Workato Automation Pro or a related Workato certification is considered an advantage
• Previous experience with platforms such as Salesforce, ServiceNow, NetSuite, Workday, SAP, Snowflake, Databricks, or Microsoft Dynamics is highly valued
• Exposure to AI platforms and tools such as OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, or Anthropic is a plus
• Familiarity with retrieval-augmented generation (RAG), vector databases, embeddings, prompt engineering, or AI-agent workflows is beneficial
• Knowledge of Python or JavaScript for custom integration logic is an additional asset
• Strong analytical, troubleshooting, documentation, and stakeholder-communication skills