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GCP AI Engineer
Role: GCP AI Engineer
Work site: New York, NY – onsite Contract Role Job Description: ** Onsite Only , New York City only ** We are looking for an experienced GCP Architect to design and implement scalable, secure, and high-performance AI solutions on Google Cloud Platform. This role involves providing architectural leadership, reviewing technical designs, and guiding teams in building enterprise-grade AI applications leveraging GCP services. Key Responsibilities: Define and implement cloud architecture for AI/ML workloads on Google Cloud Platform. Review solution designs and ensure adherence to best practices for scalability, security, and performance. Architect and optimize enterprise AI applications, including LLM-based solutions in production environments. Design strategies for prompt engineering, RLHF, and RAG integration within GCP-based AI systems. Enable multi-modal AI capabilities (text, image, video, audio) using GCP services and frameworks. Collaborate on open-source AI initiatives or contribute to AI research publications. Implement A/B testing frameworks, personalization engines, and feedback-driven optimization pipelines. Oversee fine-tuning and deployment of LLMs using frameworks like Hugging Face, OpenAI, TensorFlow, and PyTorch, integrated with Vertex AI and other GCP services. Required Qualifications: Extensive experience in Google Cloud Platform architecture, including Vertex AI, BigQuery ML, Cloud Storage, and Kubernetes (GKE). Proven track record in enterprise AI solution design and production-level scaling of LLMs. Strong knowledge of prompt engineering, RLHF, and RAG techniques. Familiarity with multi-modal AI models and generative AI technologies. Contributions to open-source AI projects or published research in AI. Expertise in A/B testing, personalization, and feedback-driven optimization. Proficiency in AI frameworks and integration with GCP services. • Data preparation & generation • Cloud services - GCP | ||||||
