About the Role

Job Title: AI Architect

Key Responsibilities

• Design, test, and optimize prompts for various LLMs (e.g., GPT-4, Claude, PaLM, Mistral, LLaMA) across diverse domains.
• Collaborate with data scientists, engineers, product managers, and domain experts to align prompt strategies with business goals.
• Build and maintain prompt libraries for reusable components and templates.
• Fine-tune prompt strategies for accuracy, efficiency, safety, and contextual relevance.
• Conduct A/B testing and evaluate prompt performance using quantitative and qualitative metrics.
• Stay up to date with advancements in LLMs, prompt engineering best practices, and open-source tools.
• Support the deployment of LLM-powered solutions as APIs or microservices in production environments.
• Contribute to internal documentation, knowledge-sharing sessions, and cross-functional innovation initiatives.

Minimum Qualifications

• 7 11 years of experience in AI, NLP, or related roles with exposure to prompt engineering or LLM-based systems.
• Strong proficiency in Python and experience with LLM frameworks and APIs (OpenAI, Hugging Face, Azure OpenAI, Anthropic, etc.).
• Solid understanding of how LLMs work: tokenization, context windows, embeddings, and model behavior.
• Experience working with RAG, prompt chaining, or tools like LangChain / Semantic Kernel / Prompt Flow.
• Familiarity with evaluation metrics for generative models (BLEU, ROUGE, perplexity, human feedback).
• Experience deploying AI solutions to cloud (Azure, AWS, Google Cloud Platform) or containerized environments (Docker, Kubernetes).
• Excellent problem-solving, critical thinking, and communication skills.

Location: Remote