Do you thrive on building the future of AI model quality, safety, and optimization?
Are you ready to lead a world-class ML engineering team defining how models are validated,
secured, and deployed at global scale?
Join the Akamai Inference Cloud Team!
The Akamai Inference Cloud (AIC) team is part of Akamai's Cloud Technology Group. We design, implement, and operate AI platforms enabling customers to run inference models with unmatched performance, compliance, and economics. The Model Intelligence & Lifecycle team owns the end-to-end model lifecycle--from validation andsecurity scanning through quantization, safety enforcement, fine-tuning, and production monitoring.
Partner with the best
As a Senior Engineering Manager, you will build and lead a high-performing ML engineering team responsible for model validation, quantization, safety, and lifecycle management across the AIC. You'll drive technical strategy for guardrails, model optimization, and responsible AI practices while recruiting top talent and growing engineers in a rapidly evolving domain.
As a Senior Engineering Manager, you will be responsible for:
- Building and scaling a team of ML engineers focused on model validation, quantization, safety systems, and lifecycle automation
- Leading technical strategy for model quality and safety including guardrails, content filtering, red-teaming, and compliance enforcement
- Driving model optimization initiatives spanning quantization, distillation, and inference performance tuning
- Owning the model onboarding pipeline from security scanning and validation through optimization and production deployment
- Building and managing the bring-your-own-model pipeline that enables customers to onboard, validate, optimize, and serve custom models with consistent quality and safety standards
- Establishing engineering standards and best practices for responsible AI, model evaluation frameworks, and fine-tuning infrastructure
- Collaborating with platform, runtime, and developer experience teams to deliver seamless model lifecycle capabilities
Do what you love
To be successful in this role you will:
- 10 years of relevant experience and a Bachelor's degree or its equivalent experience building and scaling high-performing ML engineering teams
- Demonstrate experience leading teams that shipped model lifecycle, model safety, or ML optimization products in production
- Possess hands-on understanding of model quantization, inference optimization, and serving frameworks such as vLLM, TensorRT, or Triton
- Show expertise in responsible AI practices including content safety, adversarial robustness, guardrail systems, and compliance frameworks
- Have experience with LLM architectures, fine-tuning workflows, and model evaluation methodologies
- Show proficiency with cloud-native technologies including Kubernetes and distributed systems at global scale
Work in a way that works for you
FlexBase, Akamai's Global Flexible Working Program, is based on the principles that are helping us create the best workplace in the world. When our colleagues said that flexible working was important to them, we listened. We also know flexible working is important to many of the incredible people considering joining Akamai. FlexBase, gives 95% of employees the choice to work from their home, their office, or both (in the country advertised). This permanent workplace flexibility program is consistent and fair globally, to help us find incredible talent, virtually anywhere. We are happy to discuss working options for this role and encourage you to speak with your recruiter in more detail when you apply.
