GenAI Solution Architect
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
Line of Service
Internal Firm ServicesIndustry/Sector
Not ApplicableSpecialism
IFS - Information Technology (IT)Management Level
ManagerJob Description & Summary
Firm Overview:At PwC we are a community of solvers where every individual plays an important role in shaping the future of our firm clients and communities. We seek individuals who excel in their roles and embody our core behaviors working together to create a better tomorrow. Our commitment to Trusted Leadership and Distinctive Outcomes from our PwC Professional framework defines how we deliver on our purpose and strategy serving our clients and living our values in every interaction. Trusted Leadership emphasizes building trust delivering sustained outcomes and demonstrating courage and honesty especially during challenging times. Distinctive Outcomes focus on excellence collaboration and inclusiveness ensuring our work adds value meaning and purpose. By integrating these principles into our daily operations we ensure that our efforts are aligned with our values and objectives. Thus we are looking for candidates who are self-aware collaborative committed to continuous learning and dedicated to delivering quality and integrity.
Were a network of firms in 152 countries with more than 328000 people who are committed to delivering world-class capabilities and quality in assurance tax and advisory services.
Established in the region for over 40 years PwC Middle East employs over 10000 people across 12 countries: Bahrain Egypt Iraq Jordan Kuwait Lebanon Libya Oman Qatar Saudi Arabia Palestine and the United Arab Emirates. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market and beyond.
Line of Service and Overview:
Internal Firm Services (IFS)
IFS is a network of specialist support professionals which includes Clients & Markets Finance Human Capital Marketing & Communications Office Management Risk & Quality Technology to name but a few. Each function plays a vital role in making sure we have all the right resources services and technology across our business.
Job Summary:
We value every individuals role in shaping our future. Were looking for candidates who excel in their roles and embody our core behaviors of Trusted Leadership and Distinctive Outcomes. Trusted Leadership focuses on building trust delivering sustained results and showing courage and honesty. Distinctive Outcomes emphasize excellence collaboration and inclusiveness. We seek self-aware collaborative individuals committed to continuous learning and delivering quality and integrity.
We are seeking a GenAI Senior Solution Architect to lead the design development and deployment of Generative AI-powered applications. This role 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. You will play a pivotal role in integrating cutting-edge AI models into enterprise and government systems ensuring seamless integration into enterprise systems.
This role requires expertise in AI architecture model hosting MLOps and full-stack AI application development with a focus on security scalability and performance.
Roles and Responsibilities:
- Architect and implement Generative AI (GenAI) applications cross functionally and across industries such as government banking real estate and telecommunications.
- Define AI adoption strategies and design scalable AI architectures for both cloud-based and hybrid environments.
- Develop AI-driven automation solutions leveraging 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 ensuring high availability scalability and security.
- Collaborate with stakeholders to translate business requirements into AI-enabled solutions.
- Implement MLOps best practices ensuring efficient model training deployment and monitoring.
- 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 with the ability to translate business needs into scalable and cost effective AI-enables solutions.
- Experience in AI solution lifecycle management from ideation assessment to production deployment.
- Experience in mitigating AI risks following AI governance ethics security and compliance standards.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Required Skills:
- AIexpertise: Building RAG models OpenAI agents Prompt Engineering Copilot Studio Python FastAPI Apps LangChain CrewAI
- Proven track record of deploying AI solutions at an enterprise level.
- Ability to build applications and expertise in different technology stacks.
- Expertise in Python FastAPI Langchain Langfuse LlamaIndex.
- Strong experience with AI model hosting fine-tuning and API integration.
- Hands-on experience with Cloud Platforms (Azure AWS GCP) for AI/ML workloads.
- Proficiency in MLOps AI Infrastructure Engineering and Data Engineering.
- Experience in containerization CI/CD pipelines and DevOps practices.
- Deep knowledge in LLM architecture RAG and inference optimization.
- Knowledge of data privacy security and ethical AI governance frameworks.
- Understanding of AI governance frameworks and best practices for ethical AI.
- Experience with full-stack development for AI applications if preferable.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Experience working with government entities and large enterprises is a plus.
Required Language Skills:
- Fluent English
- Arabic proficiency is a plus
Minimum Education and Qualification(s):
- Bachelors in Computer Science Artificial Intelligence or a related field.
- Masters degree in Computer Science Artificial intelligence or a related field is a plus.
Required Years of Experience:
- 8 years of experience in solution architecture.
- At least 3 years in Generative AI development.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred: Bachelor Degree - Artificial Intelligence Bachelor Degree - Computer ScienceCertifications (if blank certifications not specified)
Required Skills
AI Agents AI Platforms AI Programming Artificial Intelligence (AI) Artificial Intelligence (AI) Platform Artificial Intelligence Algorithms Artificial Intelligence Software Artificial Intelligence Techniques Artificial Intelligence Technologies FastAPI Large Language Models (LLMs) ML Platforms OpenAI Prompt Engineering Python Software Development Retrieval-Augmented Generation Software AgentOptional Skills
Accepting Feedback Accepting Feedback Active Listening AI Implementation Analytical Thinking C Programming Language Coaching and Feedback Communication Complex Data Analysis Creativity Data Analysis Data Infrastructure Data Integration Data Modeling Data Pipeline Data Quality Deep Learning Embracing Change Emotional Regulation Empathy GPU Programming Inclusion Intellectual Curiosity Java (Programming Language) Learning Agility 30 moreDesired Languages (If blank desired languages not specified)
EnglishTravel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
YesGovernment Clearance Required
YesJob Posting End Date
نوع التوظيف
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