Gen AI Architect

Job Summary: Rapidly assess the customer landscape, design and implementation by understanding their processes, systems, data, and pain points to identify and implement high-impact GenAI/agentic opportunities. Define and own the end-to-end solution and technical architecture covering model selection, agent design, data ingestions, integration, services, guardrails, evaluation framework, and cost/security posture. Lead the team hands-on through implementation, setting engineering and prompt-engineering standards, unblocking hard problems, and driving an iterative measure-improve-ship cadence. Collaborate with business, IT, security, and engineering stakeholders to manage expectations, communicate risks, align on goals, and keep delivery on track. Own end-to-end delivery and adoption, instrument success metrics, and establish a post-go-live operating model that sustains measurable productivity gains in production. Required Skills: Architecting, solutioning, and implementing scalable multi-agent orchestrated systems leveraging LLMs, LangChain/LangGraph, ACP, and RAG, with strong capabilities in agent design patterns, workflow orchestration, context/memory engineering, prompt and tool integration, and enterprise-grade observability, governance, and reliability Python, Data Ingestion, Data Pipeline, Vector DB Azure AI Foundry , Azure AI Service (or Similar services) #J-18808-Ljbffr TechDigital Group