Lead Agentic Ai Solutions Architect

Lead Agentic AI architecture and enterprise automation delivery in a hybrid arrangement, working from the office two days weekly. Shape healthcare outcomes through scalable solutions.As Lead Agentic AI Solutions Architect, you will own strategy, architecture, implementation, deployment, and optimization. You will identify high-value use cases, design agentic systems, and embed Responsible AI practices. The work spans LLMs, AI agents, retrieval systems, orchestration frameworks, APIs, and cloud-native platforms.Key Responsibilities:
Own Agentic AI solutions from discovery through operational supportPrioritize AI use cases aligned with measurable business outcomesDesign architectures integrating Agent Hub, platforms, APIs, and workflowsEstablish governance, security, observability, and reusable AI capabilitiesMentor engineers and architects across multiple technical teamsRequirements:
10+ years in software engineering or solution architecture5+ years designing enterprise AI-enabled solutionsStrong Python and Agentic software engineering proficiencyExperience with MCPs, APIs, microservices, and event-driven architecturesDegree or equivalent;
Master's or Doctorate may reduce experience requirementsApply your Python, architecture, and Responsible AI expertise to enterprise Agentic AI delivery and automation.
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