Senior Engineering Manager - Akamai Inference Cloud

Akamai is seeking a Senior Engineering Manager to lead a high-performing ML engineering team focused on model validation, quantization, safety, and lifecycle management within the Inference Cloud team, driving technical strategy for responsible AI practices at a global scale.

Location: Remote (US)

Salary: $155,600–$323,200/yr

Responsibilities

• 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

Requirements

• 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

Benefits

• Flexible work arrangements through Akamai's FlexBase program, allowing work from home, office, or both
• Opportunities for growth and development
• Comprehensive health, financial, family, and work-life benefits
• Industry-leading benefits including healthcare, 401K, paid time off, sick leave, parental leave, and mental and financial wellness programs

Additional Information

• This role is based in the US with a salary range of $155,600 to $323,200 per year, with additional incentive opportunities and benefits. Applications are accepted on an ongoing basis until filled.