CTIO AI Engineering Manager

PWC

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
New York, NYRaleigh, NCCharlotte, NCChicago, ILCincinnati, OH
Salary
$73,500–$212,280 / yr
Posted
38 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k
This role $143k
$52k most similar roles pay here $273k

This role pays less than 90% of similar roles. Most pay $162,000–$248,550 — the shaded band above. At the midpoint, this role pays about $143k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 105 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 103 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · CTIO AI Engineering Manager

As a CTIO AI Engineering Manager within the Data and Analytics Engineering team, you will lead teams and manage client accounts to deliver high-quality technical solutions. You will be responsible for mentoring junior staff, managing project lifecycles including planning and budgeting, and ensuring deliverables meet quality standards. Your daily work involves collaborating with cross-functional teams to integrate AI into various applications and translating complex business problems into software-engineered AI solutions. The role requires expertise in designing, training, and deploying machine learning models, building scalable cloud-native microservices using Docker and Kubernetes, and managing CI/CD pipelines via GitHub Actions. You will utilize tools such as LangChain and vector databases while deploying on AWS, GCP, or Azure platforms to solve complex problems through advanced analytics and predictive modeling for diverse client needs.

What you'll do

  • Design and develop robust data solutions to transform raw data into actionable insights.
  • Develop, train, and deploy machine learning models to solve complex business problems.
  • Build end-to-end AI applications integrated into various platforms using cloud-native microservices.
  • Manage project lifecycles including planning, budgeting, execution, and ensuring high-quality deliverables.
  • Lead and mentor junior staff by coaching them on technical skills and performance management.
  • Manage client relationships to ensure project outcomes meet expectations and requirements.
  • Integrate AI into various applications through creative strategies and technological advancements.
  • Oversee CI/CD pipelines and manage infrastructure using tools like Docker, Kubernetes, and LangChain.

What we're looking for

  • Bachelor's Degree required.
  • Master's Degree in Computer Engineering, Data Science, or related fields preferred.
  • 5 years of experience in AI engineering or a related field.
  • Experience designing, training, and deploying machine learning models.
  • Experience developing scalable, cloud-native microservices using Docker and Kubernetes.
  • Proficiency in managing CI/CD pipelines for AI systems using GitHub Actions.
  • Experience implementing vector databases and orchestration tools like LangChain.
  • Ability to deploy solutions on cloud platforms such as AWS, GCP, or Azure.

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