GenAI Solution Architect

PwC Middle East; Dubai; Hybrid; AED 440,000 - 588,000; Full time

Job summary

A global consulting firm in Dubai is seeking a GenAI Senior Solution Architect to design and deploy AI-powered applications. You will lead AI solution architecture across various sectors, implement MLOps practices, and collaborate with teams to drive digital transformation. The ideal candidate has over 8 years in solution architecture and experience in Generative AI development.

Benefits

Work Visa Sponsorship

Government Clearance

Qualifications

• 8+ years in solution architecture with 3+ years in Generative AI development.
• Strong problem-solving skills, able to work in a fast-paced environment.
• Experience with AI solution lifecycle management.

Responsibilities

• Lead the design and development of Generative AI-powered applications.
• Define AI adoption strategies and scalable architectures.
• Implement MLOps best practices for AI models.

Skills

Building RAG models

OpenAI agents

Prompt Engineering

Python FastAPI Apps

LangChain

CrewAI

AI model hosting and fine-tuning

Cloud platforms for AI/ML (Azure, AWS, GCP)

Containerization and CI/CD

Full-stack development for AI applications

Education

Bachelor’s in Computer Science

Master’s in Computer Science or Artificial Intelligence

Job description

Overview

At PwC, we measure success by our ability to create the value that our clients and our people are looking for. PwC Middle East employs over 10,000 people across 12 countries and provides tailored solutions to meet challenges in the Middle East market and beyond.

We are seeking a GenAI Senior Solution Architect to lead the design, development, and deployment of Generative AI-powered applications. This role focuses on architecting scalable AI solutions for cloud-based and hybrid environments, defining AI adoption strategies, and collaborating with cross-functional teams to drive AI-driven digital transformation. You will integrate cutting-edge AI models into enterprise and government systems with emphasis on security, scalability, and performance.

Roles and Responsibilities

• Architect and implement Generative AI (GenAI) applications across industries such as government, banking, real estate, and telecommunications.
• Define AI adoption strategies and design scalable AI architectures for cloud-based and hybrid environments.
• Develop AI-driven automation solutions using CoPilot Studio, Power Automate, and other orchestration tools.
• Build and optimize GenAI frameworks using Retrieval-Augmented Generation (RAG), prompt engineering, and LLM integration.
• Deploy offline and cloud-based LLMs using Nvidia Triton, HuggingFace TGI, vLLM, LiteLLM, and other inference layers.
• Lead full-stack AI application development with emphasis on availability, scalability, and security.
• Collaborate with stakeholders to translate business requirements into AI-enabled solutions.
• Implement MLOps best practices for training, deployment, and monitoring of models.
• Manage CI / CD pipelines, containerization (Docker), and DevOps for AI applications.
• Ensure compliance with AI governance, privacy, and security standards in AI implementations.
• Provide mentorship and technical leadership to AI engineering teams.

Required Competencies

• Ability to lead cross-country / regional engineering teams.
• Strong business acumen to translate needs into scalable, cost-effective AI-enabled solutions.
• Experience in AI solution lifecycle management from ideation to production deployment.
• Experience mitigating AI risks following governance, ethics, security, and compliance standards.
• Strong problem-solving skills and ability to work in a fast-paced environment.

Required Skills

• AI expertise : Building RAG models, OpenAI agents, Prompt Engineering, Copilot Studio, Python FastAPI Apps, LangChain, CrewAI
• Proven track record deploying AI solutions at an enterprise level
• Experience with Python, FastAPI, Langchain, Langfuse, LlamaIndex
• AI model hosting, fine-tuning, and API integration
• Cloud platforms for AI / ML workloads (Azure, AWS, GCP)
• MLOps, AI Infrastructure Engineering, Data Engineering
• Containerization, CI / CD, and DevOps for AI
• LLM architecture, RAG, and inference optimization
• Data privacy, security and ethical AI governance frameworks
• Full-stack development for AI applications (preferable)
• Experience with government entities and large enterprises is a plus

Required Language Skills

• Fluent English
• Arabic proficiency is a plus

Minimum Education and Qualifications

• Bachelor’s in Computer Science, Artificial Intelligence, or a related field
• Master’s degree in Computer Science or Artificial Intelligence is a plus

Required Years of Experience

• 8+ years in solution architecture
• At least 3+ years in Generative AI development

Other

• Available for Work Visa Sponsorship : Yes
• Government Clearance Required : Yes
• Location : Dubai, United Arab Emirates