PwC
AI Full Stack Engineer - Manager - Commercial Technology & Innovation
PwC, Miami, Florida, us, 33222
Overview
AI Full Stack Engineer - Manager - Commercial Technology & Innovation Join to apply for the AI Full Stack Engineer - Manager - Commercial Technology & Innovation role at PwC Specialty/Competency:
Software Engineering Industry/Sector:
Not Applicable Time Type:
Full time Travel Requirements:
Up to 20% About PwC CT&I
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 transform raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering 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. 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 ML/AI 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 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; age; disability; genetic information; veteran, marital, or citizenship status; or any other status protected by law. The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. 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: https://pwc.to/benefits-at-a-glance Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Accounting, Financial Services, and Business Consulting and Services Referrals increase your chances of interviewing at PwC by 2x Sign in to set job alerts for “Full Stack Engineer” roles. Location details and sample postings are included for market context.
#J-18808-Ljbffr
AI Full Stack Engineer - Manager - Commercial Technology & Innovation Join to apply for the AI Full Stack Engineer - Manager - Commercial Technology & Innovation role at PwC Specialty/Competency:
Software Engineering Industry/Sector:
Not Applicable Time Type:
Full time Travel Requirements:
Up to 20% About PwC CT&I
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 transform raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering 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. 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 ML/AI 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 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; age; disability; genetic information; veteran, marital, or citizenship status; or any other status protected by law. The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. 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: https://pwc.to/benefits-at-a-glance Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Accounting, Financial Services, and Business Consulting and Services Referrals increase your chances of interviewing at PwC by 2x Sign in to set job alerts for “Full Stack Engineer” roles. Location details and sample postings are included for market context.
#J-18808-Ljbffr