Job Description
Job Description: • Architect and implement scalable workflow automations, system integrations, and data pipelines that reduce manual work and improve reliability across business functions. • Build AI-powered automation solutions (e.g., intelligent triage, summarization, data extraction, content generation, decision support) using enterprise-safe LLMs and AI services. • Own end-to-end integration lifecycle: requirements, design, security review, development, testing, deployment, monitoring, and continuous improvement. • Integrate with APIs, webhooks, and message queues to connect SaaS apps and internal systems. • Establish robust governance and guardrails for AI and automation: access controls, prompt hygiene, evaluation/QA, data privacy, observability, and cost management. • Create reusable components, recipes, and playbooks in Workato (or similar iPaaS) to accelerate new automations. • Partner with IT, Security, Legal, and business stakeholders to ensure solutions meet compliance, privacy, and risk requirements. • Lead enablement and upskilling: deliver trainings, office hours, and documentation to help teams adopt AI responsibly and effectively. • Define success metrics and measure business impact (time saved, error reduction, SLA improvements, user satisfaction). • Troubleshoot, monitor, and continuously optimize integrations for performance, reliability, and cost. Requirements: • 5+ years in a technical role (e.g., integrations, automation, RPA, software engineering, systems engineering, or data engineering) with a proven track record of delivering cross-functional automation initiatives. • Deep experience developing AI-based solutions for business audiences. • Hands-on experience building production-grade automations and integrations across business units (e.g., Finance, Operations, Customer Support, People, Sales/RevOps). • Strong proficiency with at least one iPaaS or automation platform; Workato is highly preferred. • Fluency in APIs and data formats: REST/GraphQL, OAuth2, JSON, CSV, webhooks, pagination, rate limits, and error handling. • Programming skills in Ruby, Python or TypeScript/JavaScript for custom connectors, transformations, and AI orchestration. • Solid command of SQL and data modeling for integrations, ETL/ELT, and analytics enablement. • Familiarity with LLM integration patterns (prompt design, function/tool calling, embeddings, retrieval/RAG, vector databases, evaluation/guardrails). • Experience with major enterprise apps (Salesforce, NetSuite), secrets management, role-based access control, and CI/CD. • Strong communication skills with the ability to translate business needs into technical solutions, and to coach non-technical stakeholders on AI and automation. • Commitment to security, privacy, and responsible AI practices. Benefits: • health and wellness benefits • retirement savings plans • short- and long-term incentives • parental leave • family-forming assistance • competitive compensation package Apply tot his job