Generative AI Engineer

Hiring: Senior/Lead Generative AI Platform EngineerWe are looking for a highly experienced Senior/Lead Generative AI Platform Engineer to lead the design, implementation, and scaling of enterprise-grade AI/ML and Generative AI platforms.Location: Concord, CAWork Model: HybridEmployment Type: ContractExperience: 12+ YearsRole OverviewThe ideal candidate will have strong experience across AI/ML platforms, MLOps, hybrid cloud, Kubernetes, GCP, GPU/CPU infrastructure, and Generative AI. This role will bridge infrastructure and data science while building secure, scalable, and high-performance platforms for ML and LLM workloads.Key ResponsibilitiesDesign and build scalable AI/ML platforms across on-prem and public cloud environments.Architect hybrid-cloud environments using GCP, GKE, Red Hat OpenShift AI, and IBM Cloud Pak for Data.Design CPU/GPU compute, high-performance storage, networking, and infrastructure strategies for AI workloads.Implement Run:ai for efficient GPU/CPU scheduling and resource utilization.Build and operationalize MLOps pipelines using Vertex AI, CI/CD, automated validation, and observability.Design and maintain Vector Databases, embeddings, chunking strategies, and RAG pipelines.Deploy and manage Istio Service Mesh for secure and observable microservices communication.Implement SRE practices, autoscaling, reliability patterns, and operational best practices.Required Skills5+ years of Python development experience.3+ years of production MLOps experience.5+ years of Big Data experience with BigQuery and/or Hadoop.3+ years of PySpark experience.2+ years of API development, preferably FastAPI.Strong hands-on experience with GCP, GKE, OpenShift, Docker, and Kubernetes.Experience with Vertex AI and IBM Cloud Pak for Data.Strong understanding of LLMs, Vector Databases, RAG, and Generative AI platforms.Experience with H2O Driverless AI, DataRobot, or similar AutoML platforms.Strong Infrastructure as Code experience with Terraform, Helm, or Ansible.Preferred SkillsExperience with LLM/GenAI platforms, including RAG, prompt orchestration, fine-tuning, safety, and guardrails.Strong understanding of GPU/CPU orchestration and high-performance storage.Experience with Run:ai, Istio, and enterprise Kubernetes environments.Ability to lead architecture discussions and influence senior stakeholders.Experience working in Agile enterprise environments.If you have strong hands-on experience building and scaling enterprise AI/ML platforms and Generative AI infrastructure, we would like to hear from you.Interested candidates can share their updated resume at smriti.k@arkhyatech.com