AI Engineer / AI Automation Architect
Skills
About This Role
About Us
Enabler-S FZE LLC is a premier global consultancy and technology advisory firm, empowering enterprises, investors, and institutions to transform, scale, and innovate across international markets — spanning the Americas, Europe, Africa, Asia, and the Middle East.
By combining strategic advisory, operational insight, and cutting-edge technology expertise, we help clients navigate complex business environments, implement digital solutions, and achieve sustainable growth.
As part of our next phase of growth, we are building AI-driven operational ecosystems designed to automate workflows, enhance productivity, and redefine how modern companies operate.
Job Summary
We are seeking a highly versatile and hands-on AI Engineer / AI Automation Architect who can design, develop, and deploy advanced AI-powered automation systems across multiple business departments.
This role is ideal for someone deeply experienced in AI agents, workflow automation, autonomous systems, and AI tool integration — with the ability to build scalable systems that significantly reduce manual operational dependency.
The ideal candidate is not just a developer, but an innovation-driven builder who understands how to leverage AI technologies to create highly efficient, semi-autonomous, and intelligent business operations.
Key Responsibilities
- Design and deploy AI agents for various business functions including operations, sales, customer service, HR, marketing, reporting, and administration.
- Build and manage intelligent workflow automations using platforms such as N8N, Claude, Manus, OpenAI APIs, and related AI ecosystems.
- Develop multi-agent systems capable of handling complex operational tasks and decision-making workflows.
- Integrate APIs, databases, CRMs, communication tools, and third-party applications into unified automation pipelines.
- Create AI-powered internal assistants, copilots, dashboards, and reporting systems.
- Optimize operational processes through automation and AI-driven execution.
- Research, test, and implement emerging AI tools and frameworks to improve company-wide efficiency.
- Collaborate with leadership to identify opportunities for automation and operational transformation.
- Maintain and improve AI infrastructure, workflows, and automation architecture.
Mandatory Experience
Strong hands-on experience with:
· **Platforms:** N8N (or advanced enterprise equivalents), OpenAI / ChatGPT APIs, Claude / Anthropic APIs.
· **AI Concepts:** Autonomous Web Agents (e.g., Manus), Multi-Agent Architecture, and Advanced Prompt Engineering.
· **Core Integration:** Webhooks, REST APIs, JSON parsing, and system interoperability.
· **Mindset:** Proven track record with No-Code / Low-Code automation platforms paired with a code-capable foundation.
Experience
with one or more of the following is highly desirable:
· **Frameworks & Protocols:** LangChain, CrewAI, AutoGen, MCP (Model Context Protocol) Servers.
· **Development Ecosystem:** Python, Node.js, Docker, Cursor, Replit.
· **Data Architecture:** Pinecone, Supabase, Vector Databases, and Retrieval-Augmented Generation (RAG) systems.
· **Alternative Automation:** Make.com, Zapier.
Ideal Candidate Profile
The ideal candidate:
· **AI Passionate:** Deeply enthusiastic about the AI landscape; constantly experimenting with, breaking, and mastering new AI tools and workflows.
· **Dual-Minded:** Thinks strategically about high-level business logic while executing technical architecture rapidly and precisely.
· **Production-Focused:** Has proven experience building *stable*, production-ready automations rather than just fragile proofs-of-concept.
· **Autonomous & Scalable:** Capable of independently auditing manual corporate workflows and architecting them into scalable, automated processes.
What Success Looks Like
· **Workload Reduction:** A measurable drop in manual, repetitive operational tasks across key departments.
· **Velocity:** Drastically accelerated internal execution speeds and reduced human error through robust AI orchestration.
· **Intelligence:** Seamless, real-time, AI-driven reporting and self-managing workflow loops.
· **Scale:** A robust, future-proof AI infrastructure capable of supporting the consultancy's global market growth.
Application Requirements
- To be considered, applicants should include:
- Updated CV/Resume
- Portfolio or GitHub profile
- Examples of AI automations or agent systems built
- List of AI tools/platforms used regularly
- Case studies, demos, or Loom walkthroughs (preferred)
- Applicants with demonstrated real-world AI automation experience will be prioritized.
Compensation
Competitive salary package based on experience, expertise, and project capabilities.
Pay: From AED3,000.00 per month
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