Oracle Gen AI - Senior Associate

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Oracle data and analytics at PwC, you will utilise Oracles suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
  
  

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Generative AI Development team you will design, develop, and rigorously test innovative AI applications that drive business transformation. As a Senior Associate you will analyze complex problems, mentor junior team members, and maintain elevated standards while building meaningful client relationships. This role offers the chance to work with cutting-edge technologies and contribute to impactful AI solutions that enhance organizational performance.

Responsibilities

• Design and develop innovative AI applications to drive business transformation
• Analyze intricate problems and provide solutions to enhance performance
• Mentor junior team members to foster their professional growth
• Maintain rigorous standards in project deliverables and client interactions
• Build and nurture meaningful relationships with clients
• Rigorously test AI applications to confirm reliability and effectiveness
• Collaborate with cross-functional teams to implement advanced technologies
• Contribute to the continuous improvement of AI solutions
  
  

What You Must Have

• Bachelors Degree
• 4 years of experience
• Oral and written proficiency in English required
  
  

What Sets You Apart

• 4 years of experience in IT and 2–3 years in AI/ML
• Hands-on experience with LLM APIs and agentic AI frameworks
• Proficiency in Python, LangChain, and LlamaIndex
• Knowledge of MLOps/LLMOps practices for AI deployment
• Familiarity with bias mitigation and Responsible AI principles
• Experience in building chatbots or intelligent assistants
• Exposure to multi-modal AI and enterprise data integration
• Continuous learning in GenAI and agentic AI ecosystem

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