Forward Deployed Engineer - AI/ML Platforms

San Franciscofull timeOn Site

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mid

$250k–$275k

H1B: yes

Anyscale Forward Deployed Engineer - AI/ML Platforms role partnering with AI organizations to design, deploy, and operate infrastructure for production AI workloads. Focus on scalable AI platforms, ML infrastructure modernization, and distributed AI application operationalization.

Responsibilities

As a Forward Deployed Engineer - AI/ML Platforms at Anyscale, you’ll partner with some of the world’s most sophisticated AI organizations to design, deploy, and operate the infrastructure powering their production AI workloads.
Design and implement production-grade AI platform architectures on Kubernetes and public cloud infrastructure (AWS, Azure, and GCP).
Partner directly with customer platform, infrastructure, and ML engineering teams to deploy, operate, and optimize distributed AI workloads.
Lead implementation engagements that include platform installation, networking, security, observability, scaling, upgrades, and operational readiness.
Troubleshoot complex distributed systems issues spanning infrastructure, Kubernetes, networking, storage, and AI applications.
Develop automation, tooling, reference implementations, and infrastructure-as-code that accelerate customer success and improve repeatability.
Build trusted relationships with technical leaders, platform teams, and executive stakeholders, translating business objectives into robust technical solutions.
Collaborate closely with Product and Engineering to communicate customer requirements, identify product improvements, and shape future platform capabilities.
Share best practices through technical documentation, architecture guidance, workshops, and enablement.
We'd love to hear from you if you have:
5+ years of experience in cloud infrastructure, platform engineering, DevOps, Site Reliability Engineering, or software engineering.
Experience building, deploying, or operating ML/AI platforms that support model training, inference, or large-scale data processing workloads.

Qualification

Required

5+ years of experience in cloud infrastructure, platform engineering, DevOps, Site Reliability Engineering

Company

Anyscale

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Source: ashby

Active within the past hour

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Must-Have Skills for This Role

KubernetesAWSAzureGCPDistributed systemsInfrastructure-as-code

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