Job Details

AI Full Stack Engineer - Manager - Commercial Technology & Innovation

  2025-10-20     PwC     San Francisco,CA  
Description:

AI Full Stack Engineer - Manager - Commercial Technology & Innovation

At PwC, our data and analytics engineering team focuses on designing and developing robust data solutions for clients. We transform raw data into actionable insights, enabling informed decision‑making and driving business growth. The role requires strong machine learning expertise combined with modern application development skills to design scalable AI‑powered solutions that integrate into real‑world applications.

As a Manager, you will lead teams, manage client accounts, and mentor junior staff while upholding exceptional standards of quality and innovation. You will coach team members, leverage their unique strengths, and manage performance to deliver on client expectations, all while keeping a passion for technology and innovation that elevates delivery.

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.

Qualifications

  • Bachelor's Degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in AI engineering, machine learning, or related field.
  • Strong software engineering practices (Python, React, Docker, Kubernetes).
  • Experience designing, training, and deploying machine learning models (PyTorch, TensorFlow, JAX).
  • Proficiency in data preprocessing and handling large structured/unstructured datasets (Pandas, NumPy).
  • Experience with LLMs and RAG pipelines using tools such as LangChain, LlamaIndex, or LangGraph.
  • Managing CI/CD pipelines for AI systems using GitHub Actions.
  • Deploying on cloud platforms (AWS, GCP, Azure) with services like SageMaker, Vertex AI, or Databricks.
  • Ability to translate complex business problems into software‑engineered AI solutions.
  • Excellent communication and leadership skills.

What Sets You Apart

  • Master's Degree in Computer Engineering, Data Science, AI, or related field (preferred).
  • Designing, training, and deploying machine learning models at scale.
  • Working with LLMs and familiarity with LangChain, LlamaIndex, or LangGraph for RAG pipelines and agent orchestration.
  • Building end‑to‑end AI applications integrated into various platforms.
  • Contributing to open‑source projects or AI/ML publications.

Benefits & EEO Statement

The salary range for this position is $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles based in Maryland, this is the listed salary range for this position. PwC offers a wide range of benefits, including medical, dental, vision, 401(k), holiday pay, vacation, and personal and family sick leave. PwC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, veteran status, or any other status protected by law.

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