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enior Technical Engineer (Architect) Applied AI

enior Technical Engineer (Architect) Applied AI

cinergie digital
10-12 Years
Not Disclosed
  • Posted 7 hours ago
  • Be among the first 10 applicants

Job Description

Location: Dubai, UAE (Client Site)

Salary: AED 14,000 – AED 17,000 / month

Benefits: Work visa, air tickets, medical insurance, gratuity, paid time off

Experience: 5–8 years of relevant experience

Reference: FZ-AE-522

Job Summary

We are seeking an experienced Agentic AI Architect to design and implement autonomous AI systems capable of planning, reasoning, tool orchestration, memory management, and multi-agent collaboration. The successful candidate will architect enterprise-grade AI ecosystems that integrate Large Language Models with business applications, knowledge bases, APIs, and workflow automation platforms on AWS.

Key Requirements
  • 10+ years of experience as a Solutions Architect, Technical Lead, or Senior Engineer
  • Strong hands-on experience designing and deploying LLM / Agentic AI solutions in production
  • Expertise in Python and enterprise cloud architecture
  • Experience with Azure AI / Azure OpenAI, AWS Bedrock, or Google Vertex AI
  • Strong understanding of LangGraph, Semantic Kernel, OpenAI Agents SDK, MCP, RAG, vector databases, and AI evaluation/observability
  • Strong enterprise integration experience including APIs, event-driven architecture, data pipelines, and cloud platforms
  • Experience working in security-conscious or regulated environments
  • Ability to evaluate emerging AI technologies and make build-vs-buy and technology adoption decisions
  • Strong stakeholder management skills with the ability to communicate with both technical teams and senior leadership
What You'll Do

You will act as the technical lead for Applied AI, owning solution architecture, AI platform evaluation, agentic AI development, prototypes, engineering standards, and technical direction.

You will also mentor AI engineers, establish reusable AI architecture patterns, and work closely with Security, Data Governance, Legal, and Enterprise Architecture teams to ensure solutions are secure, scalable, and production-ready.

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Key Skills

AWS Bedrock

data pipelines

cloud platforms

vector databases

Azure OpenAI

Semantic Kernel

LangGraph

OpenAI Agents SDK

AI evaluation observability

Google Vertex AI

RAG

Azure AI

event-driven architecture

About Company