Be a Visionary : AI Solution Architect for Agentic Intelligence. Join our team and spearhead the development of groundbreaking agentic and LLM-powered enterprise solutions. As our AI Solution Architect, you will be instrumental in defining and delivering intelligent systems that redefine business capabilities. You will architect the core of autonomous interactions (A2A) and intelligent coordination (MCP), fueled by data from a multitude of sources. Your Impact Architect the Intelligent Future : Design end-to-end, scalable architectures for agentic AI and LLM-driven applications, including innovative multi-agent frameworks. And the future design patterns on A2A and MCP. Lead the Technological Edge : Drive the development of Python-based microservices for AI model orchestration and integration, leveraging the power of leading LLMs and agentic frameworks. Build the Data Foundation : Architect robust and efficient data injection pipelines to fuel our AI models with diverse data, ensuring real-time capabilities where needed. Deliver Tangible Results : Lead the end-to-end delivery of impactful AI solutions, demonstrating clear business value from concept to production. Champion AI Excellence : Stay at the forefront of AI research, guide technology decisions, and mentor our engineering team in best practices. Your Expertise Includes A proven history of successfully delivering at least three enterprise-grade AI projects involving agentic systems, LLM integration, or multi-agent platforms. Deep practical knowledge of agentic AI frameworks (AutoGPT, BabyAGI, ReAct) and the design of multi-agent systems. Comprehensive understanding of LLMs (OpenAI API, Hugging Face), including prompt engineering and fine-tuning methodologies. Extensive experience in building and deploying data ingestion pipelines from a variety of data sources and types. Mastery of Python and relevant development frameworks for AI model serving and orchestration. Demonstrated ability to deploy and scale AI solutions on major cloud platforms, utilizing containerization and CI/CD pipelines. Solid understanding and implementation of MLOps principles for the lifecycle management of AI models. Exceptional ability to communicate complex technical concepts effectively to diverse audiences. Ideally, You Also Have An advanced degree in a relevant technical field. Experience working within regulated industries. Knowledge of reinforcement learning and multi-agent RL techniques. Familiarity with A2A communication protocols and MCP orchestration engines. Join Us And Enjoy Competitive monthly compensation that reflects your expertise. The opportunity to own the technical vision and architecture of our AI products. Access to cutting-edge AI tools, platforms, and the latest research. A collaborative and dynamic startup environment where your contributions will have a significant impact. Ready to Architect the Future of AI? Please submit your resume, a portfolio showcasing at least three relevant AI projects (including architectural diagrams), and a brief statement outlining your experience with agentic AI, LLMs, A2A, MCP, and data injection strategies. (ref:hirist.tech) Show more Show less