Senior AI Engineer / AI Architect Tangent International UAE

Full Description

Job Overview

Job Title: Senior AI Engineer / AI Architect Tangent International UAE

Recruiting Company: Tanint

Job Location: United Arab Emirates

Job Type: Contract (6 months, extendable with strong long-term potential)

Application Method: Send CV to

Hiring Timeline: Interviews happening ASAP; fast-track process

Position Summary

We are seeking a highly experienced Senior AI Engineer / AI Architect to lead the design and deployment of cutting-edge AI solutions.

This role is pivotal in shaping next-generation AI systems that drive innovation and deliver measurable impact across complex domains.

Detailed Job Description

As a Senior AI Engineer / Architect, you will spearhead the development of advanced AI solutions, including Agentic AI, Retrieval-Augmented Generation (RAG/GraphRAG), and LLM-based multimodal chatbot systems.

You will work closely with cross-functional teams to transform concepts into production-ready solutions, leveraging modern AI development practices and scalable infrastructure.

This position offers the opportunity to influence strategic AI initiatives, work on high-impact projects in healthcare and other data-intensive sectors, and collaborate with global experts in a dynamic, forward-thinking environment.

Key Responsibilities

• Design, build, and deploy robust AI solutions leveraging Agentic AI, RAG/GraphRAG, and LLM-based multimodal chatbots

• Architect and manage AI/ML infrastructure on cloud platforms (preferably Azure) or on-prem environments using OpenShift and Kubernetes

• Implement modern AI development workflows, including AI coding assistants, PR-based processes, and automated testing

• Develop and integrate Knowledge Graphs (TigerGraph, Neo4j) and LLMs for complex biomedical data modeling

• Apply Reinforcement Learning techniques to enhance intelligent systems

• Ensure compliance with healthcare data standards (FHIR/HL7) and optimize GPU utilization

• Drive model evaluation, A/B testing, and explainability using SHAP and LIME

• Oversee CI/CD pipelines for ML and automated testing frameworks

Required Qualifications & Skills

• Minimum 6+ years of experience in AI/ML/Data Science with proven delivery of production-grade solutions

• Expertise in deploying and scaling models on Kubernetes with high reliability and performance

• Strong proficiency in Python and ML/DS libraries (scikit-learn, pandas, PyTorch, TensorFlow)

• Hands-on experience with LLMs, NLP, and agentic frameworks (LangChain, CrewAI, Microsoft Agentic Framework, MCP, A2A)

• Familiarity with healthcare data standards (FHIR/HL7)

• Proficiency in cloud platforms (Azure preferred; AWS or GCP acceptable)

Nice-to-Have Skills

• Experience with Knowledge Graphs and graph databases (TigerGraph, Neo4j)

• Practical application of Reinforcement Learning in production environments

• Familiarity with AI coding assistants (Cursor, Claude Code, GitHub Copilot)

• Advanced understanding of multimodal AI systems and biomedical data modeling

• Strong grasp of automated testing frameworks (pytest, unittest, pydantic)

Recruitment Pro Tip: Highlight your hands-on experience with deploying AI solutions at scale and your ability to integrate cutting-edge frameworks like LangChain or CrewAI into production environments.

Demonstrating practical expertise in Kubernetes orchestration and cloud-based AI infrastructure will significantly boost your chances of standing out during the selection process.