{"id":4025276,"url":"https://alion.io/job/vertiv-ai-integration-engineer","title":"AI Integration Engineer","company":{"id":58885,"name":"Vertiv","domain":"vertiv.com","url":"https://alion.io/company/vertiv","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":83,"open_postings":427,"ghost_share":0.002,"stale_share":0.869,"repost_share":0.005,"time_to_fill_p50_days":16,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Westerville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Embeddings","optional":false},{"name":"JavaScript","optional":false},{"name":"Jira","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power Automate","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Ruby","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"UiPath","optional":false}],"status":"live","first_seen_at":"2026-11-10T13:47:55Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T16:39:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Summary\nVertiv seeks an AI Integration Engineer to lead enterprise integration and AI automation initiatives. This hands-on technical leader will design and support scalable integrations using Workato and modern AI technologies, enabling seamless connectivity between enterprise applications, data platforms, and AI-powered solutions. The role partners with technical and business stakeholders to deliver secure, reliable, and governed integration architectures.\nKey Responsibilities\nDevelop and maintain Workato integrations, recipes, connectors, and AI-powered workflows.\nDesign Generative AI solutions using RAG, embeddings, vector stores, and agent-based architectures.\nEstablish API architecture, integration standards, governance, and security practices.\nDeliver integrations across enterprise applications and digital platforms.\nArchitect AI-enabled front-end experiences and backend orchestration workflows.\nDefine monitoring, documentation, observability, and operational standards.\nEvaluate emerging AI and integration technologies and recommend adoption strategies.\nProvide technical leadership, mentorship, and cross-functional collaboration.\nExperience\nBachelor's degree in Computer Science, Engineering, Information Systems, or related field.\n5+ years in software or integration engineering.\n3+ years with Workato or similar iPaaS platforms.\nExperience with enterprise APIs, cloud integration, SaaS platforms, and AI architectures.\nExperience leading AI initiatives or enterprise technology implementations.\nTechnical Skills\nStrong Workato expertise.\nDeep understanding of REST APIs, OAuth, webhooks, and event-driven architecture.\nExperience with GPT, Claude, Gemini, Llama, LangChain, and Llama Index.\nProficiency in Python, JavaScript, Ruby, or similar languages.\nKnowledge of AWS, CI/CD, containerization, and enterprise applications including Salesforce, SAP, ServiceNow, and Snowflake.\nFamiliarity with React, Tailwind, and modern front-end frameworks.\nPreferred\nAdvanced degree in AI, Machine Learning, or Data Science preferred.\nWorkato certification.\nAI/ML training or certifications.\nExperience with UiPath, Power Automate, agentic workflows, and responsible AI practices.\nKnowledge of Agile, Jira, Kafka, Spark, Snowflake, and compliance-focused integration 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