Responsibilities
- Design and build agent-driven AI systems using a unified automation platform with agentic capabilities.
- Create intelligent, self-directed workflows that coordinate multiple agents and leverage orchestration and automation features.
- Implement Retrieval-Augmented Generation (RAG) architectures to ground large language model responses in real-time, contextual data via platform connectors and workflows.
- Develop and optimize prompting strategies, memory handling, and behavioral logic for reliable agent decision-making and workflow execution.
- Serve as a technical advisor, diagnosing and resolving issues in AI system designs, including scalable RAG pipelines and agent frameworks.
- Build and maintain high-performance, AI-powered IT automation workflows featuring dynamic data retrieval and agent-based logic.
- Monitor AI system performance continuously and implement optimizations for reliability and efficiency.
- Partner with clients to understand business needs and deliver customized, scalable AI and RAG solutions aligned with technical and operational goals.
- Ensure customer success by delivering implementations that meet both technical requirements and business expectations.
- Work with cross-functional teams to embed AI workflows into existing IT environments for seamless integration and deployment.
- Support internal knowledge development by contributing to documentation and process improvements.
- Participate in all stages of product development, from concept through delivery, providing technical and practical insights.
- Assist product teams in defining technical and design specifications that align with user needs and product objectives.
- Communicate complex technical concepts clearly to non-technical stakeholders using accessible language.
Work Arrangement
Remote (Worldwide)
Other
This role requires availability during US business hours, corresponding to 6:30 PM to 3:30 AM IST.
