PwC
AI Full Stack Engineer - Manager - Commercial Technology & Innovation
PwC, San Francisco, California, United States, 94199
AI Full Stack Engineer – Manager – Commercial Technology & Innovation
6 days ago Be among the first 25 applicants
Specialty/Competency:
Software Engineering Industry/Sector:
Not Applicable Time Type:
Full time Travel Requirements:
Up to 20%
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.
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 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.
Skills Overview
Analyse and identify linkages and interactions between components 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 comfort zone and encourage others to do the same.
Effectively mentor others.
Use review of work as opportunity to deepen expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards, firm code of conduct, and independence requirements.
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.
Develop scalable, cloud-native microservices using Docker and Kubernetes.
Build 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.
Manage CI/CD pipelines for AI systems using GitHub Actions.
Implement vector databases and orchestration tools like LangChain.
Translate complex business problems into software‑engineered AI solutions.
Deploy on cloud platforms like AWS, GCP, Azure using services like SageMaker, Vertex AI, or Databricks.
Contribute 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. 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.
#J-18808-Ljbffr
Specialty/Competency:
Software Engineering Industry/Sector:
Not Applicable Time Type:
Full time Travel Requirements:
Up to 20%
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.
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 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.
Skills Overview
Analyse and identify linkages and interactions between components 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 comfort zone and encourage others to do the same.
Effectively mentor others.
Use review of work as opportunity to deepen expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards, firm code of conduct, and independence requirements.
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.
Develop scalable, cloud-native microservices using Docker and Kubernetes.
Build 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.
Manage CI/CD pipelines for AI systems using GitHub Actions.
Implement vector databases and orchestration tools like LangChain.
Translate complex business problems into software‑engineered AI solutions.
Deploy on cloud platforms like AWS, GCP, Azure using services like SageMaker, Vertex AI, or Databricks.
Contribute 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. 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.
#J-18808-Ljbffr