CTIO AI Engineering Manager

PwC; Birmingham; On-site; GBP 52,000 - 86,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k

Holiday pay

Vacation

Personal and family sick leave

Job summary

PwC is seeking an AI Engineering Manager to lead the design, training, and deployment of machine learning solutions. You will build cloud-native microservices using Docker and Kubernetes, integrate LangChain vector databases, and manage CI/CD pipelines with GitHub Actions.

You will collaborate with cross-functional teams to deliver AI-enabled applications for diverse platforms, mentor junior staff, and drive innovation while maintaining high-quality standards.

Qualifications

• Bachelor's degree in a relevant field required.
• 5 years of experience in AI engineering or related field.
• Masters degree preferred in Computer Engineering, CS, AI, or Robotics.
• Experience designing, training, and deploying ML models.
• Experience building cloud-native microservices with Docker and Kubernetes.
• Experience deploying on AWS, GCP or Azure.
• CI/CD pipelines experience using GitHub Actions.
• Experience with vector databases and LangChain.
• Ability to translate complex business problems into AI solutions.
• Contributions to open-source projects or AI/ML publications.

Responsibilities

• Work with cross-functional teams to embed AI into applications.
• Drive initiatives to improve project outcomes with innovative strategies.
• Identify opportunities for technology advancements.
• Inspire and mentor team members to excel.
• Maintain high standards of quality and innovation in deliverables.
• Foster continuous learning and improvement within the team.
• Manage client relationships and ensure project deliverables meet expectations.
• Lead teams and manage client accounts.
• Focus on strategic planning and mentoring junior staff.

Skills

AI engineering

ML model design

Cloud-native microservices

CI/CD pipelines

Education

Bachelor's Degree

Masters Degree preferred

Tools

Docker

Kubernetes

LangChain

GitHub Actions

Vector databases

Job description

Salary: £52,000 - 86,000 per year

Requirements

• Bachelors Degree
• 5 years of experience in AI engineering or a related field
• Masters Degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence, or Robotics preferred
• Experience designing, training, and deploying machine learning models
• Experience developing scalable, cloud-native microservices using Docker and Kubernetes
• Experience building end-to-end AI applications integrated into various platforms
• Experience managing CI/CD pipelines for AI systems using GitHub Actions
• Experience implementing vector databases and orchestration tools like LangChain
• Experience translating complex business problems into software-engineered AI solutions
• Experience deploying on cloud platforms like AWS, GCP, or Azure
• Experience contributing to open-source projects or AI/ML publications

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
• Manage client relationships and confirm project deliverables meet expectations
• Lead teams and manage client accounts
• Focus on strategic planning and mentoring junior staff

Technologies

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• Excel
• GCP
• GitHub
• Support
• Kubernetes
• Machine Learning
• Robotics
• microservices
• Phoenix

More

We are PwC, and our Data and Analytics Engineering team focuses on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. We work to transform raw data into actionable insights that support informed decision-making and business growth. In this Manager-level role, we combine data science, machine learning engineering, and AI-focused delivery to help clients solve complex business problems, while leading teams, managing client relationships, and upholding high standards of quality and innovation. This is a full-time role with locations across multiple U.S. cities, including New York, Raleigh, Charlotte, Chicago, Dallas, Seattle, San Francisco, Washington, DC, and others. The salary range for this position is $73,500 - $212,280, with a Washington state range of $73,500 - $244,000, and all hired individuals are eligible for an annual discretionary bonus.

Benefits

• medical
• dental
• vision
• 401k
• holiday pay
• vacation
• personal and family sick leave