PricewaterhouseCoopers

Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Key Responsibilities:

• Design and implement RESTful APIs for authentication, data access, and system health checks
• Develop modular services to handle model inference, prompt orchestration, and pipeline management
• Orchestrate background or asynchronous tasks for long-running AI workloads
• Integrate with leading LLM platforms (OpenAI, Hugging Face, etc.) and optimize calls for performance and cost
• Containerize services using Docker and Docker Compose, and collaborate on CI/CD pipelines
• Manage and scale data stores
• Define clear API contracts and data models in partnership with frontend engineers
• Produce comprehensive documentation: OpenAPI/Swagger specs, architecture diagrams, and in-code comments
• Participate in design discussions, architectural reviews, and peer code reviews

Qualifications:

• Strong backend development skills (Node.js, Python, or equivalent)
• Hands-on experience with Docker, Docker Compose, and container orchestration
• Familiarity with databases like MongoDB, Redis, or similar systems
• Solid understanding of JWT/session-based authentication and security best practices
• Proven ability to design and consume RESTful APIs
• Experience integrating AI/ML services, especially large language models
• Excellent communication skills and ability to collaborate across teams

Nice-to-Have:

• Experience with asynchronous frameworks (FastAPI, asyncio)
• Familiarity with AI orchestration libraries (LangChain, etc.)
• Background in monitoring, logging, and metrics systems
• Prior work in microservices or cloud-native environments
• Experience with Azure DevOps

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date