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About the role
We are seeking a Senior Forward Deployed Engineer (AI/ML) to help enterprise customers deploy, optimize, and scale AI/ML workloads in production environments. The ideal candidate will collaborate with customers, engineering teams, and technology partners to build scalable AI infrastructure and accelerate AI platform adoption. Key Responsibilities Deploy and optimize AI/ML workloads on cloud and Kubernetes environments. Design scalable AI infrastructure and improve inference performance. Build automation tools, deployment frameworks, and reusable reference architectures. Collaborate with Product, Engineering, and Customer Success teams to resolve technical challenges. Partner with cloud providers, GPU vendors, and AI ecosystem partners for solution validation and optimization. Required Skills Strong experience in AI Infrastructure , Distributed Systems , and Kubernetes . Proficiency in Python or Go . Experience with LLM deployment , AI inference , and cloud platforms (AWS/Azure/GCP). Knowledge of Platform Enablement , Infrastructure as Code (Terraform) , and CI/CD. Hands-on experience with open-source AI technologies such as Ray, Kubeflow, MLflow, LangChain, or Hugging Face . Experience collaborating with technology vendors and strategic partners.
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