TL;DR

DevOps Delivery Consultant (AI): Assist customers in launching generative AI workloads on AWS, designing distributed model training pipelines, and deploying inference at scale with an accent on automation, infrastructure-as-code, and DevOps culture. Focus on building scalable, resilient cloud infrastructure, integrating machine learning workflows, and providing expert guidance to customers.

What you will do

Assist customers in launching generative AI workloads on AWS and deploying inference at scale.
Design and implement distributed model training pipelines and automate infrastructure and ML workflows.
Provide guidance on serverless and containerized applications and DevOps best practices.
Collaborate with customers and partners as a trusted advisor and contribute to internal projects and reusable assets.
Present at technical events and help optimize AI models for Amazon Silicon.
Travel to customer locations when needed to deliver professional services.

Requirements

English: fluent communication skills required.
Experience with Infrastructure-as-Code tools like CloudFormation, CDK, or Terraform.
Proficiency in containerization and orchestration technologies such as Docker and Kubernetes.
Experience with CI/CD tools and Linux/Windows system administration.
Software development skills in scripting/programming languages like Python, Typescript, Java, C++, or Go.
Understanding of machine learning concepts related to model training, deployment, inference, and MLOps.

Nice to have

Experience designing large-scale distributed systems with load balancing and disaster recovery.
Experience working directly with customers, partners, or third-party vendors.
Knowledge of microservices and distributed application architecture.
Experience with automated testing tools.

Culture & Benefits

Inclusive team culture valuing diversity and continuous learning.
Mentorship and career growth opportunities with knowledge sharing.
Work-life balance with flexible working culture.
Employee-led affinity groups and diversity-focused events.