PwC
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. Responsibilities
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. What You Must Have
Bachelor’s Degree. 5 years of experience in AI engineering or related field. What Sets You Apart
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 tools like 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). ML/AI fundamentals with hands‑on 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. 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 like SageMaker, Vertex AI, or Databricks. Contributing to open‑source projects or AI/ML publications. 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. The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range this. 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 Referrals increase your chances of interviewing at PwC by 2x.
#J-18808-Ljbffr
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. Responsibilities
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. What You Must Have
Bachelor’s Degree. 5 years of experience in AI engineering or related field. What Sets You Apart
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 tools like 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). ML/AI fundamentals with hands‑on 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. 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 like SageMaker, Vertex AI, or Databricks. Contributing to open‑source projects or AI/ML publications. 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. The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range this. 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 Referrals increase your chances of interviewing at PwC by 2x.
#J-18808-Ljbffr