Gen AI Architect

Key Responsibilities

🔹 Solution Architecture

Design end-to-end generative AI systems (LLMs, diffusion models, multimodal systems) for enterprise use cases.

Architect scalable pipelines for text, image, audio, and video generation using frameworks like LangChain, Hugging Face, and custom models.

🔹 Model Strategy & Optimization

Fine-tune and deploy large language models (LLMs) (GPT-4, Llama, Claude) and diffusion models (Stable Diffusion, DALL-E).

Optimize models for performance, cost, and ethical alignment (bias mitigation, hallucination control).

🔹 Technical Leadership

Define best practices for prompt engineering, RAG (Retrieval-Augmented Generation), and model evaluation.

Mentor data scientists and engineers in generative AI techniques.

🔹 Integration & MLOps

Implement CI/CD pipelines for generative AI using MLFlow, Kubeflow, or Vertex AI.

Integrate solutions with cloud platforms (AWS Bedrock, Azure OpenAI, GCP Vertex).

🔹 Innovation & Ethics

Research emerging tech (agentic systems, autonomous AI).

Establish governance frameworks for responsible AI (compliance, security, fairness)