Description

You will design and architect enterprise-grade AI solutions using Generative AI and Large Language Models.

Responsibilities

• Design architecture for LLM-based systems, agentic workflows, retrieval-augmented generation (RAG), and AI copilots.
• Evaluate and select models, frameworks, and infrastructure for production AI systems.
• Lead the deployment of machine learning and GenAI systems using MLOps pipelines and model monitoring.
• Implement frameworks for AI governance, model explainability, transparency, and risk management.
• Translate business problems into AI-driven solutions while advising client stakeholders on technical strategy.

Required Skills

• 5+ years of experience in machine learning and modern generative AI technologies.
• Deep expertise in Large Language Models (LLMs) and Transformer architectures.
• Proven experience designing and deploying AI/ML systems in production environments.
• Strong knowledge of ML pipelines, model lifecycle management, and MLOps.
• Experience with Generative AI architectures, agentic architectures, and AI agents.
• Hands-on experience with AI governance, bias mitigation, and responsible AI practices.
• Solid understanding of enterprise software architecture and distributed systems.
• Ability to communicate complex AI concepts to executives and engineering teams.
• Bachelor's degree in Data Science, Machine Learning, Computer Science, or a related field.

Preferred Skills

• Experience building RAG-based AI systems and working with agentic orchestration frameworks.
• Familiarity with AI platform engineering and scalable AI infrastructure.
• Experience working with enterprise clients in regulated industries.

Key Skills

Education

Bachelor's degree