Senior Enterprise Architect

We are seeking a visionary, hands-on Senior Enterprise Architect to join our enterprise architecture team and help shape the future of our software platforms. This role will provide technical leadership across software architecture, enterprise modernization, scalability, cloud adoption, and the strategic integration of emerging technologies, including artificial intelligence.

The ideal candidate is an accomplished software engineer and architect with a deep understanding of designing, building, and evolving complex enterprise software systems. This individual will work across architecture, engineering, product, data, security, and business teams to establish technical direction, define architectural standards, and translate complex business challenges into practical, scalable, and secure software solutions.

This is not a data science or AI model-development role. However, we are looking for a software architect who understands how to apply and integrate AI capabilities into real-world enterprise software. Candidates may come from a strong software engineering, architecture, platform engineering, or AI engineering background; deep expertise in statistics, model training, or academic machine learning is not required.

The Principal Software Architect will remain hands-on while operating at an enterprise level—developing prototypes, reference implementations, frameworks, scaffolding, and complex technical solutions that help engineering teams adopt architectural patterns and deliver high-quality software. The role will also serve as a technical thought leader and mentor, helping establish a culture of engineering excellence, innovation, and continuous modernization.

Experience in the insurance industry is a strong plus.

Key Responsibilities Architectural Leadership:
Design and collaborate with engineering teams to build resilient, highly scalable, secure, maintainable, and observable distributed software systems as part of a collaborative enterprise architecture team.

Hands-On Architecture & Development:
Develop architectural prototypes, reference implementations, scaffolding, frameworks, algorithms, and other technical solutions that demonstrate architectural patterns and accelerate engineering adoption and delivery.

Enterprise Modernization:
Lead architectural direction for software modernization initiatives, including legacy application transformation, application decomposition, cloud adoption, platform evolution, API strategies, integration, and modernization of critical enterprise systems.

AI & Generative AI Architecture:
Define and lead the technical strategy for incorporating AI and GenAI capabilities into enterprise applications and platforms. Evaluate and integrate LLMs, third-party AI services, AI agents, and other emerging AI technologies where they provide meaningful business or engineering value.

AI-Enabled SDLC:
Identify opportunities to leverage AI to improve developer productivity, software development, testing, code quality, documentation, application modernization, and other areas of the SDLC. Establish reusable patterns, standards, and guardrails that enable engineering teams to adopt AI safely and effectively.

Technical Roadmap & Governance:
Establish architecture patterns, reference architectures, frameworks, engineering standards, and technical roadmaps across software development and AI adoption, ensuring alignment with enterprise strategy, business objectives, security requirements, and industry best practices.

Cloud & Distributed Systems:
Provide architectural leadership for cloud-native applications and distributed systems, with an emphasis on scalability, resilience, availability, performance, observability, and operational excellence.

Cross-Functional Collaboration:

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