Advisory National CT&I - AI Engineer - Manager

Advisory National CT&I - AI Engineer - Manager

Join to apply for the Advisory National CT&I - AI Engineer - Manager role at PwC

Specialty/

Competency:

Data Science
Industry/Sector:
Not Applicable
Time Type:
Full time
Travel Requirements:
Up to 40%

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 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.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how the business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.

You embrace technology and innovation to enhance your delivery and encourage others to do the same.

• Work with cross‑functional teams to incorporate AI into various applications.
• Drive initiatives that enhance project outcomes through creative strategies.
• Identify and utilize opportunities for advancements in technology.
• Inspire and motivate team members to excel in their contributions.
• Uphold exceptional standards of quality and innovation in deliverables.
• Foster an environment that encourages continuous improvement and learning.

• Bachelor’s Degree.
• 5 years of experience in AI engineering or related field.

• Master’s Degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred.
• Designing, training, and deploying machine learning models.
• Working with LLMs and familiarity with tools like Lang Chain, Llama Index, or Lang Graph for RAG pipelines and agent orchestration.
• Skilled in data preprocessing and handling large structured/unstructured datasets using tools like Pandas and Num Py.
• Developing scalable, cloud‑native microservices using Docker and Kubernetes.
• Building end‑to‑end AI applications integrated into various platforms.
• Proficiency in Python and React with expert software engineering practices (modular design, testing, OOP, algorithms).
• ML/AI fundamentals with hands‑on experience in PyTorch, Tensor Flow, or JAX; capable of end‑to‑end model development and deployment.
• Managing CI/CD pipelines for AI systems using Git Hub Actions.
• Implementing vector databases and orchestration tools like Lang Chain.
• Translating complex business problems into software‑engineered AI solutions.
• Deploying on cloud platforms like AWS, GCP, Azure using services like Sage Maker, Vertex AI, or Databricks.
• Contributing to open‑source projects or AI/ML publications.

Learn more about how we work: (Use the "Apply for this Job" box below).-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: .

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…