Gen AI Architect

Gen AI Architect Charlotte, NC (Need Onsite day 1,hybrid 3 days from office) Position type: W2 contract Job Description We are seeking a Generative AI Architect to lead the design and delivery of secure, scalable, enterprise-grade AI solutions. Ideal candidate will define GenAI architecture standards, guide engineering teams, and help transform business opportunities into production-ready applications using large language models, retrieval-augmented generation, AI agents, and cloud technologies. The Role Responsibilities • Define the organization s GenAI architecture, strategy, and technical roadmap. • Design and oversee scalable solutions using LLMs, RAG, vector databases, AI agents, and multimodal AI. • Evaluate models, platforms, frameworks, and build-versus-buy options. • Establish standards for prompt engineering, model evaluation, orchestration, and LLMOps. • Design cloud-native AI platforms, APIs, data pipelines, and integration patterns. • Ensure solutions meet requirements for security, privacy, governance, performance, and cost. • Implement safeguards against hallucinations, prompt injection, data leakage, and unauthorized access. • Lead architecture reviews, proof-of-concepts, and production deployments. • Partner with product, data, engineering, security, and business stakeholders. • Mentor technical teams and communicate complex AI concepts to senior leaders. Requirements • Bachelor s or master s degree in computer science, AI, Data Science, Engineering, or a related field. • Experience in software architecture, engineering, machine learning, or data engineering. • Hands-on experience designing or delivering GenAI or LLM solutions. • Very strong knowledge of LLMs, embeddings, prompt engineering, RAG, vector search, and model evaluation. • Proficiency in Python, Java, JavaScript, TypeScript, or a similar language. • Experience with cloud platforms such as AWS, Azure, or Google Cloud. • Experience with APIs, microservices, containers, Kubernetes, CI/CD, and distributed systems. • Understanding of AI security, data privacy, responsible AI, and governance. • Excellent communication, leadership, and problem-solving skills. • Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, OpenAI, Anthropic, Gemini, or open-source models. • Familiarity with LangChain, LlamaIndex, Semantic Kernel, MLflow, Databricks, or similar tools. • Experience with AI agents, fine-tuning, knowledge graphs, or multimodal applications. • Cloud, AI, machine learning, or data engineering certifications. • Experience in a regulated industry.