AI Automation Jobs
Find AI workflow automation jobs where you connect systems, automate business processes and ship reliable workflows with n8n, Make, Zapier, APIs and AI agents.
Latest AI workflow automation jobs
276of 276 roles
AI Innovation Engineer
5+ years engineering experience with at least 2 years in marketing/agency space; strong Python; at least one of TypeScript, SQL; ship production AI work; able to map workflows and influence without authority.
AI Solutions Engineer
Strong engineering fundamentals, able to design data models/APIs and write maintainable code; manufacturing mindset; AI-native development experience; U.S.-based and willing to work onsite in Austin; must be U.S. Citizen/U.S. Person per 10 CFR Part 810.
AI Implementation Specialist
5+ years leading and implementing AI, automation, MarTech or CRM solutions; 2+ years hands-on generative AI; experience with OpenAI, Claude, Gemini, Microsoft Copilot; orchestration tools (Make, n8n, Workato, Langflow); APIs, webhooks, REST, JSON; CRM and digital marketing platforms; strong English; ability to write technical/functional specs.
AI Consultant / Developer
Hands-on experience designing and prototyping AI solutions (LLMs, RAG, STT/TTS, NLP), building conversational/voice agents, using low-code/no-code and APIs, delivering POC/MVP demos, and strong client-facing communication in English.
AI Enablement Engineer
7+ years full-stack development; production SaaS experience; LLM APIs, prompt/context engineering, retrieval, tool calling, MCP, and agentic tools; AI adoption leadership; bachelor's degree; fluent English.
Senior Forward Deployed AI Engineer
5+ years building production software or AI solutions; experience with Palantir Foundry/AIP, Copilot Studio/Power Platform; strong API/integration; Python, JavaScript/TypeScript, SQL; ability to work with stakeholders.
AI Growth Builder
Ownership of end-to-end user acquisition using AI-first tooling; build scrapers, automations, and AI workflows; run A/B tests; proven experience building AI-driven projects (agents, automations, apps).
AI Builder
1–3 years relevant experience; AI-native fluency; experience shipping production systems; customer-facing onboarding and technical communication skills; familiarity with healthcare integrations and security/compliance.
Architect & AI-Native Engineer
6+ years experience; deep full‑stack expertise (TypeScript, Node.js, Next.js, React 19, Tailwind CSS, .NET/C#); cloud (Azure, AWS, GCP); databases (PostgreSQL, MySQL); Linux, CI/CD; AI agent tooling and autonomous workflows.
AI Search & Organic Growth
4+ years leading organic search teams, deep AEO/GEO and AI citation expertise, revenue-oriented SEO and content leadership, AI-native operator with executive presence.
Product Engineer
Backend experience in Java/.NET/PHP/JS-TS; daily use of AI coding tools; integration of LLM APIs; client-facing; full-stack capability; English and Polish proficiency.
AI Business Operations Analyst
Requires 3–7 years in operations, strategy, or related work; AI automation experience; no-code/low-code workflow expertise; LLM API and SQL/BI proficiency; strong analytical and communication skills; fluent English.
What AI workflow automation work involves
AI automation work starts with a business process: a support request needs routing, a document needs extracting, or an internal approval needs the right context. Search for automation engineer, workflow developer, integration specialist and operations automation roles, then inspect the responsibilities. A useful distinction is whether you would build and maintain the process or simply operate an existing tool.
The implementation might combine n8n, Make or Zapier with APIs, databases and model calls. Some steps benefit from AI classification or drafting; others need predictable rules. A strong project example explains that choice, documents the input and output, and demonstrates retries, duplicate handling and a path to human review. Be ready to discuss who owns the workflow and how failures are detected.
Compared with AI agent roles, automation roles centre on connecting systems and delivering a repeatable business outcome. Compared with an n8n-specific search, this category leaves the platform open. No-code and low-code roles overlap when visual workflows are the main building method, but some automation positions require substantial scripting. Read the listed stack and expected coding depth rather than relying on the job title.