Artificial Intelligence Engineer

Our client is a leading global technology, defense, and engineering conglomerate.Job Summary:This role focuses on designing, building, and operating production-grade AI agents that automate enterprise workflows across IT, operations, and other business functions. You will work with a multi-platform agentic AI stack, including Microsoft Copilot Studio, Google AgentSpace, AWS Bedrock, and Dataiku, to develop AI agents capable of reasoning, planning, retrieving enterprise knowledge, and taking actions through tools and APIs while meeting governance and security requirements. Experience with at least one enterprise agentic AI platform is expected, along with the ability to adapt and deliver solutions across different AI ecosystems.Key Responsibilities:Design and build production-grade AI agents capable of reasoning, planning, tool orchestration, and human-in-the-loop workflows.Develop and deploy agentic AI solutions using platforms such as Microsoft Copilot Studio, Google AgentSpace, AWS Bedrock, and Dataiku.Build enterprise RAG pipelines for secure knowledge retrieval with role-based access control.Evaluate, monitor, and optimize AI agent performance from POC to production, ensuring reliability and observability.Implement responsible AI practices, including governance, security, auditability, and safe execution of AI-driven actions.Requirements:3+ years of software engineering experience.Hands-on experience building GenAI/LLM applications, preferably beyond chatbots (e.g., hybrid ML and LLM solutions).Experience with at least one of the following: Microsoft Copilot Studio, Google AgentSpace, AWS Bedrock, or Dataiku.Experience with vector databases, embeddings, and RAG-based solutions.Fluent in English