Lead Agentic AI Solutions Architect
Core
Design and deliver enterprise-grade agentic AI and automation solutions, integrating LLMs, AI agents, and orchestration frameworks with business workflows.
Role type
Lead Agentic AI Solutions Architect
Builds
Scalable agentic AI architectures integrated with Agent Hub, enterprise platforms, APIs, and business workflows
Domain
Healthcare + Agentic AI / Enterprise Automation
Deliverable
production ML models
Required skills
Software engineering, solution architecture, application development, platform engineering, AI-enabled enterprise solution design, Python, agentic software engineering methods, enterprise integrations (MCPs, APIs, microservices, event-driven architectures), technical delivery leadership
Preferred skills
Large language models (tokenization, context windows, model capabilities), LangChain, LangGraph, Semantic Kernel, AutoGen, Claude Agent SDK, function-calling patterns, tool integrations, structured schemas, Azure Cloud services, Azure AI Foundry, cloud-native architecture, Docker, Kubernetes, CI/CD pipelines, human-in-the-loop processes, Responsible AI principles, governance frameworks, risk management, compliance
Technologies
Azure, Agent Hub, MCPs, LLMs, Retrieval systems, Orchestration frameworks, Docker, Kubernetes, CI/CD
Responsibilities
Own full lifecycle of agentic AI solutions from discovery to operational support, identify and deliver high-impact AI use cases, design scalable agentic AI architectures, lead technical design decisions involving LLMs and AI agents, partner with stakeholders to define requirements and roadmaps, establish engineering standards and governance controls, drive Responsible AI practices, mentor engineers and architects
Seniority
Senior, hands-on IC with leadership responsibilities
