PwC is seeking a GenAI Senior Solution Architect to lead the design, development, and deployment of Generative AI-powered applications. In this on-site, full-time role based in Dubai, you will focus on architecting scalable AI solutions for cloud-based and hybrid environments, defining AI adoption strategies and best practices, and collaborating with cross-functional teams to drive AI-driven digital transformation. Your responsibilities will include integrating cutting-edge AI models into enterprise and government systems while ensuring seamless integration into enterprise infrastructure.
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Key Responsibilities:
- Architect and implement Generative AI (GenAI) applications across various industries including 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 utilizing CoPilot Studio, Power Automate, and other orchestration tools.
- Optimize GenAI frameworks using Retrieval-Augmented Generation (RAG), prompt engineering, and Large Language Model (LLM) integration.
- Deploy offline and cloud-based LLMs using tools such as Nvidia Triton and HuggingFace TGI.
- Lead full-stack AI application development with an emphasis on availability, scalability, and security.
- Collaborate with stakeholders to translate business requirements into AI solutions.
- Implement MLOps best practices for efficient model training, deployment, and monitoring.
- Ensure compliance with AI governance, privacy, and security standards during implementations.
- Provide mentorship and technical leadership to AI engineering teams.
Required Competencies:
- Experience in leading cross-regional engineering teams.
- Ability to translate business needs into scalable and cost-effective AI solutions.
- Strong problem-solving skills and capability to work in a fast-paced environment.
Required Skills:
- Expertise in building RAG models, OpenAI agents, and prompt engineering.
- Proven track record of deploying AI solutions at the enterprise level.
- Proficiency in AI model hosting, fine-tuning, and API integration.
- Experience with cloud platforms (Azure, AWS, GCP) for AI/ML workloads.
- Knowledge of data privacy, security, and ethical AI governance frameworks.
Language Requirements:
- Fluent in English, with Arabic proficiency considered a plus.
Minimum Education and Qualifications:
- Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. A Master's degree in a similar field is a plus.
Experience:
- 8+ years of experience in solution architecture, with at least 3+ years in Generative AI development.
Travel Requirements:
Visa Sponsorship:
Government Clearance:
