Apply on Employer Site

PwC · 6 hours ago

Full Stack AI Engineer - Experienced Associate - Commercial Technology & Innovation

Chicago, IL

Full-time

Hybrid

Entry Level

$63K/yr - $140K/yr

1+ years exp

PwC is a leading professional services firm that focuses on data and analytics engineering. The role involves contributing to the development and implementation of innovative AI solutions while supporting project tasks and delivering quality work in a fast-paced environment.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

Responsibilities

Assist in the development and execution of innovative AI solutions

Work with team members to deliver quality outputs

Analyze data to derive insights and support decision-making

Adapt to a fast-paced environment and changing project needs

Contribute to team discussions and share ideas for enhancement

Uphold professional standards and ethical guidelines

Foster a culture of learning and continuous growth

Qualification

Data processingArtificial intelligenceMachine learning modelsCloud platforms AWSCloud platforms GCPCloud platforms AzureSoftware engineeringLarge Language Models (LLMs)Team collaborationAdaptabilityCommunication skills

Required

Bachelor's Degree

1 year of experience

Preferred

Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Artificial Intelligence and Robotics, Software Engineering, Computer Science preferred

Experience in data processing and analytics

Proficiency in artificial intelligence and robotics

Skills in software engineering and development

Knowledge of computer science principles

Deploying on cloud platforms (AWS, GCP, Azure) and leveraging services such as SageMaker, Vertex AI, or Databricks

Being Familiar with LLM providers (OpenAI, Anthropic, Meta, etc.)

Building and integrating multi-agent frameworks (e.g., LangGraph, LangFlow)

Designing, training, and deploying machine learning models and Large Language Models (LLMs) into production environments

Developing scalable, cloud-native microservices using tools like Docker and Kubernetes