PwC
Advisory National CT&I - AI Engineer - Manager
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Advisory National CT&I - AI Engineer - Manager
role at
PwC
2 days ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Specialty
Data Science
Industry / Sector
Not Applicable
Time Type
Full time
Travel Requirements
Up to 40%
Overview At PwC, our data and analytics engineering teams focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They transform raw data into actionable insights, enabling informed decision‑making and driving business growth. Data science and machine learning engineers work on predictive models, statistical analysis, and data visualisations to solve complex business problems.
Leadership & Team Development Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You coach team members, manage performance, and identify opportunities that contribute to the success of our firm. You lead with integrity, authenticity, and embrace technology and innovation to enhance delivery.
Key Skills and Experience
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards, the firm’s code of conduct, and independence requirements.
Opportunity We’re seeking an innovative and versatile AI Engineer who combines strong machine learning expertise with modern application development skills. 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. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while upholding high standards of quality and innovation.
Responsibilities
Work with cross‑functional teams to incorporate AI into various applications.
Drive initiatives that enhance project outcomes through creative strategies.
Identify and utilise 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.
Required Qualifications
Bachelor’s Degree.
5 years of experience in AI engineering or related field.
Preferred Qualifications
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 LangChain, LlamaIndex, or LangGraph for RAG pipelines and agent orchestration.
Skilled in data preprocessing and handling large structured/unstructured datasets using Pandas and NumPy.
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).
Machine learning fundamentals with hands‑on experience in PyTorch, TensorFlow, or JAX.
Managing CI/CD pipelines for AI systems using GitHub Actions.
Implementing vector databases and orchestration tools like LangChain.
Translating complex business problems into software‑engineered AI solutions.
Deploying on cloud platforms like AWS, GCP, Azure using services such as SageMaker, Vertex AI, or Databricks.
Contributing to open‑source projects or AI/ML publications.
Salary and Benefits The salary range for this position is: $99,000 – $232,000, plus individuals may be eligible for an annual discretionary bonus. The range depends on skills, experience, qualifications, location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and more.
Equal Opportunity 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, veteran status, marital, or citizenship status, or any other status protected by law. For qualified applicants affected by the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, arrest or conviction records will be considered for employment in accordance with these laws.
Learn More About How We Work Learn more about how we work:
https://pwc.to/how-we-work
#J-18808-Ljbffr
Advisory National CT&I - AI Engineer - Manager
role at
PwC
2 days ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Specialty
Data Science
Industry / Sector
Not Applicable
Time Type
Full time
Travel Requirements
Up to 40%
Overview At PwC, our data and analytics engineering teams focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They transform raw data into actionable insights, enabling informed decision‑making and driving business growth. Data science and machine learning engineers work on predictive models, statistical analysis, and data visualisations to solve complex business problems.
Leadership & Team Development Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You coach team members, manage performance, and identify opportunities that contribute to the success of our firm. You lead with integrity, authenticity, and embrace technology and innovation to enhance delivery.
Key Skills and Experience
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards, the firm’s code of conduct, and independence requirements.
Opportunity We’re seeking an innovative and versatile AI Engineer who combines strong machine learning expertise with modern application development skills. 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. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while upholding high standards of quality and innovation.
Responsibilities
Work with cross‑functional teams to incorporate AI into various applications.
Drive initiatives that enhance project outcomes through creative strategies.
Identify and utilise 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.
Required Qualifications
Bachelor’s Degree.
5 years of experience in AI engineering or related field.
Preferred Qualifications
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 LangChain, LlamaIndex, or LangGraph for RAG pipelines and agent orchestration.
Skilled in data preprocessing and handling large structured/unstructured datasets using Pandas and NumPy.
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).
Machine learning fundamentals with hands‑on experience in PyTorch, TensorFlow, or JAX.
Managing CI/CD pipelines for AI systems using GitHub Actions.
Implementing vector databases and orchestration tools like LangChain.
Translating complex business problems into software‑engineered AI solutions.
Deploying on cloud platforms like AWS, GCP, Azure using services such as SageMaker, Vertex AI, or Databricks.
Contributing to open‑source projects or AI/ML publications.
Salary and Benefits The salary range for this position is: $99,000 – $232,000, plus individuals may be eligible for an annual discretionary bonus. The range depends on skills, experience, qualifications, location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401(k), holiday pay, vacation, personal and family sick leave, and more.
Equal Opportunity 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, veteran status, marital, or citizenship status, or any other status protected by law. For qualified applicants affected by the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, arrest or conviction records will be considered for employment in accordance with these laws.
Learn More About How We Work Learn more about how we work:
https://pwc.to/how-we-work
#J-18808-Ljbffr