AI Architect

Summary

Join our team as an AI Architect and lead the development of MVPs, collaborating with data scientists, ML engineers, and client stakeholders.

Requirements

• Advanced degree in Computer Science, Data Science, or related field
• 5 years of experience in AI architecture, with a strong focus on consulting and LLMs
• Proven track record in building and deploying large-scale AI models, including hands-on experience with LLMs
• Familiarity with cloud-based AI services (e.g., AWS, Azure, Google Cloud) and AI/ML tools (e.g., TensorFlow, PyTorch)
• Excellent communication skills to bridge technical solutions with business objectives
• Knowledge of Azure OpenAI and other common LLMs

Responsibilities

• Consult with clients to understand business needs, identifying opportunities where AI, specifically LLMs, can add value
• Help with prioritizing the backlog and define a business case for GenAI based projects
• Architect and design scalable AI solutions that integrate LLMs and other generative AI technologies
• Lead the development of MVPs, collaborating with data scientists, ML engineers, and client stakeholders
• Work in multi geography environment with technical skill spanning across countries
• Provide thought leadership on best practices for deploying and scaling AI models in production environments
• Guide clients on AI governance, data privacy, model interpretability, and responsible AI practices