AI Engineering Manager, Machine Learning & Cloud
Overview
As an AI Engineering Manager at PwC, you own the delivery of AI solutions for enterprise clients, leading cross-functional teams to integrate machine learning models into production. You manage complex data projects from planning through deployment, balancing technical depth with strategic oversight. You mentor engineers, drive innovation, and ensure every model ships with GitHub Actions in scalable, cloud-native environments. This role offers a rare blend of hands-on AI engineering and client leadership, with direct impact on global financial services.
What You'll Do8
- 1Lead cross-functional teams to integrate AI models into client applications, owning end-to-end delivery.
- 2Design and deploy scalable, cloud-native microservices using Docker and Kubernetes.
- 3Drive initiatives that enhance project outcomes through creative strategies, from model design to production monitoring.
- 4Build and manage CI/CD pipelines for AI systems, ensuring automated testing and deployment with GitHub Actions.
- 5Implement vector databases and orchestration tools like LangChain to power retrieval-augmented generation.
- 6Translate complex business problems into software-engineered AI solutions, aligning with client goals.
- 7Mentor junior engineers, address conflicts, and foster a culture of continuous learning and quality.
- 8Uphold technical standards and independence requirements, ensuring deliverables meet PwC's quality bar.
Requirements8
- 1Bachelor's Degree in Computer Science, Engineering, or related field.
- 25+ years in AI engineering or related field, with proven team leadership.
- 3Hands-on experience designing, training, and deploying machine learning models.
- 4Experience developing cloud-native microservices with Docker and Kubernetes.
- 5Track record of building end-to-end AI applications integrated into various platforms.
- 6Managing CI/CD pipelines for AI systems using GitHub Actions.
- 7Implementing vector databases and orchestration tools like LangChain.
- 8Deploying on cloud platforms like AWS, GCP, or Azure.
Salary Insight
$74 - $244k per year
Location
Required Skills
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