PwC
AI Full Stack Engineer - Manager - Commercial Technology & Innovation
PwC, Atlanta, Georgia, United States, 30383
AI Full Stack Engineer - Manager - Commercial Technology & Innovation
Join to apply for the
AI Full Stack Engineer - Manager - Commercial Technology & Innovation
role at
PwC Overview
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 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. Specialty/Competency:
Software Engineering Industry/Sector:
Not Applicable Time Type:
Full time Travel Requirements:
Up to 20% 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
Learn more about how we work: https://pwc.to/how-we-work EEO notice:
PwC does not intend to hire experienced or entry level job seekers who will need PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information; veteran, marital, or citizenship status; or any other status protected by law. For locations with Fair Chance laws, PwC will consider arrest and conviction records consistent with those laws. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Compensation:
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 skills, experience, qualifications and location. PwC offers benefits including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. Benefits overview: https://pwc.to/benefits-at-a-glance Job details
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
#J-18808-Ljbffr
AI Full Stack Engineer - Manager - Commercial Technology & Innovation
role at
PwC Overview
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 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. Specialty/Competency:
Software Engineering Industry/Sector:
Not Applicable Time Type:
Full time Travel Requirements:
Up to 20% 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
Learn more about how we work: https://pwc.to/how-we-work EEO notice:
PwC does not intend to hire experienced or entry level job seekers who will need PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information; veteran, marital, or citizenship status; or any other status protected by law. For locations with Fair Chance laws, PwC will consider arrest and conviction records consistent with those laws. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Compensation:
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 skills, experience, qualifications and location. PwC offers benefits including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. Benefits overview: https://pwc.to/benefits-at-a-glance Job details
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
#J-18808-Ljbffr