Industry/Sector
TechnologySpecialism
Software EngineeringManagement Level
AssociateJob Description & Summary
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.Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Key Responsibilities
Collaborate across teams: Partner with cross-functional groups to understand business requirements and identify opportunities for GenAI technology.
Develop algorithms: Design and build advanced deep learning algorithms for generative models.
Integrate AI solutions: Incorporate generative AI into existing workflow systems for smooth adoption.
Research advancements: Stay up-to-date with the latest generative AI technologies and methodologies.
Optimize performance: Fine-tune and enhance generative models for peak performance and efficiency.
Troubleshoot implementations: Diagnose and resolve issues related to generative AI models and deployments.
Documentation: Create and maintain comprehensive documentation detailing generative AI models and their applications.
Communicate findings: Translate complex technical concepts for non-technical stakeholders.
Required Qualifications
Frameworks: LangChain, Semantic Kernel, LlamaIndex; Azure OpenAI/OpenAI/Anthropic; Guardrails/safety toolkits (e.g., Azure AI Content Safety, Presidio).
Fine-tuning & data generation: Dataset curation, synthetic data creation, RLHF/RLAIF exposure.
Agents & tool-use: Function calling, planning, orchestration of multi-step agents.
Performance engineering: Model distillation, quantization, ONNX/Triton, Ray for scaling.
Event-driven integration: Kafka/Event Hubs, streaming inference with backpressure and retries.
Certifications: Azure AI Engineer/Data Scientist, Databricks, or AWS ML Specialty.
Professional & Educational Background
Bachelor Degree or equivalent practical experience in Computer Science, Data Science, Statistics, Engineering, or related fields.
Travel Requirements
Not SpecifiedJob Posting End Date