Enterprise AI Architect
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Job Description
Enterprise AI Architect leading technical integration for AI systems in health insurance. Collaborating on emerging technologies to enhance business capabilities with modular AI components.
Responsibilities:
- Proactively and holistically works with enterprise delivery program leaders to define and maintain the architectural runway for business initiatives enabled by emerging AI technologies
- Leads the technical integration design supporting implementation of agentic AI systems, including autonomous and semi-autonomous agents, multi‑agent orchestration, Agent‑to‑Agent (A2A) communication patterns, and AI‑enabled business process transformation
- Partners with Enterprise Analytics, Security, and I&O programs to develop and govern AI‑focused architectural designs that incorporate Model Context Protocol (MCP)–based tool integrations
- Ensures agents operate safely within enterprise boundaries, follow standardized integration patterns, and enhance business capability maturity
- Identifies emerging AI and agentic technology trends that enable future‑state business capabilities and optimizes business processes for AI‑native execution
- Coaches architects, product owners, delivery teams, and business partners to build competency in AI architecture and agentic design patterns
Requirements:
- Master’s or bachelor’s degree in business, computer science, engineering, systems analysis, or related field, or equivalent experience
- Minimum of two years of design and implementation experience in IT, including deep knowledge of AI/ML frameworks, AI development environments, cloud platforms, and big data technologies
- Minimum of two years of experience in solution architecture development and delivery, including business architecture interpretation
- Experience designing or implementing agent-based AI systems, autonomous agents, multi-agent orchestration, or workflow‑integrated AI components
- Working knowledge of business process management (BPM), process modeling, and translating processes into agent-oriented workflows
- Understanding of A2A communication principles, MCP-based tool integration, and foundational agent governance concepts
Benefits:
- medical, dental and vision coverage
- incentive and recognition programs
- life insurance
- 401k contributions
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