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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

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:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.

Join Us to Shape the Future with AI and Innovation

At Commercial Technology & Innovation (CT&I), we’re not just building technology—we’re reshaping the future of business. As the tech engine behind PwC’s Advisory platforms, we embed AI, automation, and cutting-edge engineering into everything we do, delivering smarter, faster, and bolder solutions that drive real-world impact. Our mission is to power possibility—partnering with bold thinkers to turn vision into reality and transform industries at scale.

We’re looking for passionate, curious, and purpose-driven engineers who want to make a difference. If you’re ready to innovate with intent, drive business outcomes, and help lead the AI-enabled transformation of one of the world’s most trusted organizations, your journey starts here.

The Opportunity

We’re seeking an innovative and versatile AI Engineer who combines strong machine learning expertise with modern application development skills. In this role, you’ll design and deploy AI-powered solutions that are scalable, user-friendly, and integrated within real-world applications. You’ll work cross-functionally with data scientists, ML engineers, backend/frontend developers, and product teams to deliver impactful AI products.

Responsibilities

- Assist in the development and execution of innovative AI solutions

- Work with team members to deliver quality outputs

- Analyze data to derive insights and support decision-making

- Adapt to a fast-paced environment and changing project needs

- Contribute to team discussions and share ideas for enhancement

- Uphold professional standards and ethical guidelines

- Foster a culture of learning and continuous growth

What You Must Have

- Bachelor's Degree

- 1 year of experience

What Sets You Apart

- Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Artificial Intelligence and Robotics, Software Engineering, Computer Science preferred

- Experience in data processing and analytics

- Proficiency in artificial intelligence and robotics

- Skills in software engineering and development

- Knowledge of computer science principles

- Proficiency in Python and React with software engineering practices (modular design, testing, OOP, algorithms)

- ML/AI fundamentals with experience in PyTorch, TensorFlow, or JAX; capable of end-to-end model development and deployment 

- Managing CI/CD pipelines for AI systems using GitHub Actions

- Developing scalable, cloud-native microservices using tools like Docker and Kubernetes

- Deploying on cloud platforms (AWS, GCP, Azure) and leveraging services such as SageMaker, Vertex AI, or Databricks

- Being Familiar with LLM providers (OpenAI, Anthropic, Meta, etc.)

- Building and integrating multi-agent frameworks (e.g., LangGraph, LangFlow)

- Designing, training, and deploying machine learning models and Large Language Models (LLMs) into production environments

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.



The salary range for this position is: $75,000 - $118,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance