Spearhead the design, development, and scaling of sophisticated AI workflows across diverse enterprise functions as an AI Orchestration Solution Architect. This pivotal role involves expertly integrating Large Language Models (LLMs), AI agents, machine learning models, rule engines, APIs, and enterprise applications. The objective is to create seamless, autonomous, and human-in-the-loop business processes that drive significant organizational value.

This position offers a unique opportunity to shape the future of intelligent automation within a dynamic environment. You will be instrumental in architecting solutions that leverage cutting-edge AI technologies to solve complex business challenges and enhance operational efficiency.

Design comprehensive, multi-step AI workflows by seamlessly integrating LLMs, machine learning models, decision engines, APIs, and core enterprise systems. Define robust architectures for advanced AI agents, intelligent copilots, and sophisticated multi-agent systems. Develop and implement scalable orchestration patterns and versatile, reusable frameworks to accelerate development and deployment.

Drive the adoption of AI-enabled process automation across critical business areas including Finance, Supply Chain, Operations, Procurement, and Customer Service. Implement innovative solutions that support both human-in-the-loop and fully autonomous workflow models. Utilize platforms like LangChain, Semantic Kernel, Azure AI Studio, and OpenAI APIs to build and deploy these solutions. Champion the creation of reusable templates, accelerators, and reference architectures.

Demonstrate hands-on expertise in AI orchestration frameworks and LLM-based application development. Possess a strong understanding of prompt engineering, RAG patterns, tool integrations, workflow management, and multi-agent system design. Proven experience in architecting AI copilots and autonomous agent solutions is essential.

Showcase a proven ability to design scalable, distributed AI solutions. Possess in-depth knowledge of workflow engines, orchestration platforms, microservices, APIs, and event-driven architectures. Effectively translate complex business requirements into clear and actionable technical architectures.

Bring experience in intelligent automation, including BPM and RPA. A solid understanding of process optimization is required; process mining experience is a valuable asset. Familiarity with leading cloud AI/ML platforms such as Azure AI, AWS AI/ML, or Google Vertex AI is expected. Understanding of AI infrastructure, model deployment, and MLOps best practices is crucial. Experience with enterprise applications like SAP, Oracle, or Salesforce is advantageous. Excellent stakeholder management and a deep understanding of business processes are key.