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PwC · 2 months ago

Advisory National CT&I - AI Engineer - Manager

DC-Washington

Full-time

Onsite

Mid, Senior Level

$99K/yr - $232K/yr

5+ years exp

PwC is a leading consulting firm focused on data and analytics engineering, seeking an innovative AI Engineer to lead teams and manage client accounts. The role involves designing and deploying AI-powered solutions, mentoring junior staff, and ensuring high standards of quality and innovation in deliverables.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

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

Qualification

AI engineeringMachine learningPythonCloud platformsData preprocessingMicroservicesCI/CD pipelinesTeam leadershipMentoringProblem-solving

Required

Bachelor's Degree

5 years of experience in AI engineering or related field

Preferred

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

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