AI Principal Software Engineer; Remote

Take the next step in your journey at Inspira Financial.Guided by our mission to enable better health and greater wealth, we help businesses and individuals thrive today, tomorrow, and into retirement by strengthening and simplifying the health and wealth journey.

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Position Summary:

The AI CoE Principal Software Engineer will report to the Sr. Director, AI Center of Excellence, in the Technology Department . This role is the most senior individual contributor on the team and the technical owner of the enterprise AI engineering foundation, including the semantic router, model and harness hosting, the enterprise AI gateway, and the AI operations layer used across the business.

The role is responsible for setting AI engineering architecture and standards and then building them, carrying a multi-year capability roadmap from discovery through prototype, validation, and production scale. Primary duties include designing and building the shared AI platform and semantic routing layer; product inference and personali zation, partnering with AI-Ops on monitoring, evaluation, and governance guardrails; building secure, compliant AI integration patterns for a regulated financial services and health and benefits environment s ;

leading agentic pipeline and multi-agent orchestration work; delivering production AI services for CoE
-enabled business functions; developing reusable reference architectures for other engineering teams; managing AI unit economics; prototyping emerging AI capabilities; mentoring senior and lead engineers; and partnering with security, risk, compliance, and data governance. This role does not have direct reports.

Duties & Responsibilities:

• Architect, build, and operate the shared enterprise AI platform, including core semantic data, model, harness, and hosting capability used across developer and in-product personalization use cases.
• Design and maintain intelligent request routing using semantic analysis and deterministic logic to direct requests to the best-fit LLM, internal tool, or agentic pool, using cost, latency, and privacy as routing criteria.
• Partner with AI-Ops to enable metric-based reporting, quality, performance, and drift monitoring across live systems, build model evaluation harnesses, and establish governance guardrails for safe AI use at scale.
• Design and implement secure, compliant AI integration patterns appropriate for a regulated financial services environment.
• Build and scale agentic pipelines and multi-agent orchestration across the software development lifecycle, from pilot through measured engineering capacity across product teams.
• Deliver production AI services supporting document intelligence and claims adjudication, conversational and voice self-service, call intelligence, fraud and anomaly detection, and regulatory monitoring.
• Develop reusable…