Genai Architect

Line of Service Advisory

Industry/Sector Not Applicable

Specialism Data, Analytics & AI

Management Level Senior Manager

Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realizes they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Role Summary: PwC is on an exciting journey to scale their industry edge practice in South Africa. This has an exciting opportunity for an AI Architect with extensive working experience within the Retail Banking space to be the catalyst for growth. This role will give the successful incumbent an opportunity to work on new technologies. The GenAI Solutions Architect will play a pivotal role in defining and implementing the modernized touchless banking value chains.

Qualifications / Certifications required: Bachelor's Degree in Mathematics/Statistics and 8 or more years of experience in the Predictive Analytics area Degree or Certification in AI and GenAI from reputed university Experience required: Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and generative AI. Proven architecture experience within the Retail Banking sector. Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning for generative tasks. Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques. Proven expertise with LLMs (Microsoft Azure Open AI – Chat GPT 4.0 and other LLM models) including API access for GenAI. Proven expertise in CI/CD pipeline design and management in the Generative AI space including experience with LLMOPS. Understanding of AI agents (both worker and orchestrator) to facilitate decisioning and deployment of complex applications. Proven experience with Python development and troubleshooting code. Strong knowledge of containerization and orchestration tools. Experience with cloud platforms (AWS, Azure) and infrastructure as code. Multi-year experience with AI and machine learning concepts and tools. Exceptional communication and collaboration skills. Responsibilities of role: Understand client's vision, goals, and strategies. Aligns department priorities appropriately, determines critical success factors, evaluates, and pursues initiatives based on fit with strategies. Play an instrumental and influential role in driving Generative AI vision, strategy, and architecture. Designing, developing, and overseeing the implementation of GenAI solutions that solve complex business problems. You'll work closely with product managers, software engineers, data scientists, and other customers to conceptualize, prototype, test, and release GenAI Solutions. Design and develop the architecture and infrastructure for GenAI systems, including data storage, processing, and retrieval mechanisms. Ensure scalability, flexibility, performance, and efficiency of the GenAI systems to handle large volumes of data and complex algorithms seamlessly. Keep current on latest developments in the field of AI, Machine Learning, Deep Learning, NLP, Image processing and by reading relevant papers/ journals and applying the new learnings to create innovative data and analytics solutions. Conduct POCs, Pilots on reusable, scalable data processing, curation, and consumption frameworks to eliminate point solutions. Take ownership of operationalization of AI processes while designing solutions to optimize data pipelines, model deployment, and model monitoring. Evaluate, analyze, and optimize system resources related to large scale data processing, image processing, computer vision and deep learning. Design and build scalable infrastructure and platform to ingest, store and process very large amounts of data (structured, semi-structured and unstructured), including streaming and real-time into the cloud-based Data Lake. Work closely with the engineering and the platform team to deliver technical solutions. This includes end to end data orchestration, data layering, data governance, metadata management and data cataloging. Partner with data science, actuarial science, underwriting, claims and various business groups on deep rooted data analysis including propensity scores, catastrophic modeling, time-series analysis, and forecasting. Should lead the decision-making process for technical and architectural choices with PwC alliance partners (for example: Microsoft, SAP, Amazon etc.) to ensure that solutions are scalable, maintainable, and cost-effective. Ensure alignment to ethical AI practices, such as fairness, transparency, and accountability. Address biases and potential risks associated with AI systems to ensure responsible deployment and usage. Test and evaluate different Gen AI models and algorithms to determine their effectiveness to meet business needs. Should provide technical guidance and mentorship to Development and other team members. Define AI solution objectives and ensure alignment with business outcomes. Monitor AI industry trends and maintain state-of-the-art industry knowledge. Implement best practices for AI testing, deployment, and maintenance. Travel Requirements Up to 20%

Available for Work Visa Sponsorship? No

Government Clearance Required? Yes

Job Posting End Date August 24, 2024

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