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GenAI Solution Architect

GenAI Solution Architect

PwCDoha, Ad-Dawhah, Qatar
30+ days ago
Job description

Overview

Description

SummaryFirm 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.

We’re a network of firms in 152 countries with more than 328,000 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 10,000 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 individual\'s role in shaping our future. We\'re 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)

  • Bachelor’s in Computer Science, Artificial Intelligence, or a related field.
  • Master’s 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

    Degrees / Field of Study required : Degrees / Field of Study preferred : Bachelor Degree - Artificial Intelligence, Bachelor Degree - Computer Science

    Certifications

    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 Agent

    Optional 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 more}

    Desired Languages

    English

    Travel Requirements

    Not Specified

    Available for Work Visa Sponsorship?

    Not specified

    Government Clearance Required?

    Not specified

    Job Posting End Date

    Not specified

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