AWS Content Architect

AI Architecture Design: Define and design enterprise-level Generative AI architectures, integrating large language models (LLMs), multimodal systems, and AI-driven automation into business applications.

Solution Development: Lead the development and deployment of GenAI solutions using state-of-the-art models (e.g., GPT, LLaMA, Claude, Gemini) for tasks such as content generation, summarization, code assistance, chatbots, and knowledge retrieval.

Architect and implement fine-tuning, prompt engineering, and model orchestration strategies tailored to enterprise needs while ensuring scalability, performance, and security.

MLOps & Deployment: Oversee MLOps pipelines for Generative AI workloads using tools like MLflow, Kubernetes, Docker, and cloud platforms such as AWS, Azure, or GCP.

Data Governance & Compliance: Ensure responsible AI usage by implementing governance frameworks, ethical AI practices, and data security policies aligned with organizational and regulatory standards.

Cross-Functional Collaboration: Work closely with data engineering, application development, and business teams to align AI capabilities with strategic goals.

Mentorship & Leadership: Mentor AI engineers and data scientists, provide architectural guidance, and establish best practices for AI solution design and deployment.