PwC
Full Stack AI Engineer - Experienced Associate - Commercial Technology & Innovat
PwC, Chicago, Illinois, United States, 60290
Full Stack AI Engineer – Experienced Associate – Commercial Technology & Innovation
Join to apply for the
Full Stack AI Engineer – Experienced Associate – Commercial Technology & Innovation
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 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.
Opportunity As part of the Data and Analytics Engineering team you will contribute to the development and implementation of innovative AI solutions. As an Associate you will focus on learning and supporting project tasks while developing your skills to deliver quality work in a fast‑paced environment.
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
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
Developing scalable, cloud‑native microservices using tools like Docker and Kubernetes
Additional Information 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: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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
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Full Stack AI Engineer – Experienced Associate – Commercial Technology & Innovation
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 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.
Opportunity As part of the Data and Analytics Engineering team you will contribute to the development and implementation of innovative AI solutions. As an Associate you will focus on learning and supporting project tasks while developing your skills to deliver quality work in a fast‑paced environment.
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
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
Developing scalable, cloud‑native microservices using tools like Docker and Kubernetes
Additional Information 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: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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
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