PwC

AI Full Stack Engineer – Manager, Commercial Technology & Innovation

PwC

full-time

Posted on:

Location Type: Hybrid

Location: New York City • Florida, New York, Texas • 🇺🇸 United States

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Salary

💰 $99,000 - $232,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesMicroservicesNumpyPandasPythonPyTorchReactTensorflow

About the role

  • 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

Requirements

  • Bachelor's Degree
  • 5 years of experience in AI engineering or related field
  • 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 LLM's 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
Benefits
  • medical
  • dental
  • vision
  • 401k
  • holiday pay
  • vacation
  • personal and family sick leave
  • annual discretionary bonus

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI engineeringmachine learning modelsdata preprocessingcloud-native microservicesPythonReactPyTorchTensorFlowDockerKubernetes
Soft skills
cross-functional collaborationcreative strategiesteam motivationquality standardsinnovationcontinuous improvementlearning
Certifications
Bachelor's DegreeMaster's Degree in Computer EngineeringMaster's Degree in Data ProcessingMaster's Degree in Data AnalyticsMaster's Degree in Computer ScienceMaster's Degree in Software EngineeringMaster's Degree in Artificial IntelligenceMaster's Degree in Robotics
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