Job Title: Sr. Forward Deployed Engineer
Location: Remote
Company: Workato
Total Experience Required: 6+ years
Relevant Experience Required: 4+ years of hands-on expertise in Workato, including Agentic AI workflows, recipes, and connectors
Job Description Summary
The Workato Integration & AI Solutions Engineer is responsible for designing, developing, and deploying advanced automation and AI-driven integration solutions using Workato. This role involves building and managing Retrieval-Augmented Generation (RAG) pipelines, agent-based AI systems, and delivering custom solutions to enterprise clients. The ideal candidate will drive process improvements, ensure client success, and translate complex technical concepts for diverse stakeholders.
Key Responsibilities
• Design, develop, and deploy automation and integration solutions using Workato, focusing on AI-driven use cases
• Build and maintain RAG pipelines and agent-based AI workflows to support enterprise automation initiatives
• Lead customer engagements, gather requirements, and deliver tailored integration solutions
• Extend Workato functionality through custom connectors and scripting in Python, Java, or Ruby
• Integrate various cloud and on-premise applications, ensuring secure and reliable data flow
• Provide technical support during deployment, troubleshooting, and post-launch phases
• Document solution architectures, integration patterns, and contribute to internal knowledge sharing
• Translate and communicate complex AI and integration concepts to business and technical stakeholders
Must-Have Skills
• Minimum 3 years’ hands-on experience with Workato, including Agentic AI workflows, recipes, and connectors
• Proven expertise in designing and implementing RAG pipelines and agent-based AI systems
• Strong customer-facing engineering experience with solution delivery and deployment management
• Integration and automation proficiency with APIs, middleware, ESB, BPM, SOA, RPA, and cloud applications (e.g., Salesforce, NetSuite, ServiceNow, Workday)
• Advanced coding skills in Python, Java, or Ruby for extending Workato recipes and custom logic development
• Ability to document processes and contribute to knowledge base articles
• Strong communication skills for translating complex AI concepts to non-technical stakeholders
• Proven problem-solving and troubleshooting capabilities
Good-to-Have Skills
• Experience with additional iPaaS or automation platforms
• Familiarity with DevOps practices and CI/CD pipelines
• Knowledge of data privacy and security best practices
• Prior experience in enterprise SaaS environments
• Workato certification(s)
Educational Qualification
• Bachelor’s degree in Computer Science, Information Technology, Engineering or related field (required)
• Relevant certifications (Workato, cloud platforms, or integration tools) preferred