AI Architect(GCP and LLM) - (W2 only)

About the Role We are seeking an experienced AI Architect / Agentic AI Engineer to join a high-impact enterprise AI initiative focused on building next-generation intelligent automation and Agentic AI solutions. This role is ideal for someone passionate about Large Language Models (LLMs), AI orchestration, cloud-native architectures, and scalable machine learning systems on Google Cloud Platform (GCP). You will work closely with engineering teams, architects, and business stakeholders to design and implement AI-powered applications that drive automation, analytics, and operational efficiency. Key Responsibilities Design and develop Agentic AI and LLM-powered enterprise applications Build scalable AI/ML solutions using Google Cloud Platform services Develop and deploy APIs, microservices, and full-stack applications using Python Implement NLP, predictive analytics, and AI automation workflows Integrate AI models with cloud-native architectures and enterprise platforms Perform data preprocessing, feature engineering, and model evaluation Monitor and optimize AI applications in production environments Collaborate with stakeholders to define technical architecture and solution strategy Ensure security, scalability, reliability, and performance best practices Create technical documentation and support operational readiness Required Skills 6+ years of experience in AI/ML engineering or solution architecture Strong experience with Agentic AI and Large Language Models (LLMs) Hands-on expertise with Google Cloud Platform (GCP) Strong Python development skills Experience with full-stack development frameworks and APIs Knowledge of software architecture and microservices design Experience with NLP, AI automation, and machine learning pipelines Familiarity with cloud-native services, containers, and CI/CD Strong communication and stakeholder management skills Preferred Skills Experience with Vertex AI, BigQuery, GKE, Cloud Run, or related GCP services Exposure to LangChain, RAG pipelines, vector databases, or AI orchestration frameworks Experience with Docker and Kubernetes Familiarity with React, Angular, FastAPI, Flask, or Django Experience building enterprise AI platforms or AI copilots What We’re Looking For Strong problem-solving and analytical mindset Ability to lead technical discussions and architecture decisions Experience working in fast-paced enterprise environments Passion for innovation and emerging AI technologies Strong collaboration and client-facing communication Show more Show less