The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

• What Will You Do?

  Scope:

  Responsible for architecture within one or more segments or domains, supporting a platform modernization effort for a single business unit.

  Technical Execution:

• Translate technology strategy and business direction into actionable architecture roadmaps, ensuring architectural decisions align with organizational priorities and investment goals.
• Identify architectural opportunities and risks that have strategic implications, and proactively surface them to engineering leadership with clear options and recommendations.
• Design and drive an AI-first architectural approach across the platform, proactively identifying opportunities for AI and agentic architecture in solution design.
• Design and document solution-level architectures for new and evolving systems, including conceptual, logical, and solution architecture views, service decomposition, API design, data flow, and integration patterns.
• Author Architecture Decision Records (ADRs) that capture context, options considered, trade-offs, and rationale for key technical decisions including decisions about AI service integration.
• Evaluate architectural trade-offs across patterns (e.g., event-driven, request/response, CQRS) and recommend the right approach for a given problem domain.
• Apply Hands-on experience with agentic frameworks and tooling across the LangChain ecosystem, cloud-native agent platforms (AWS Bedrock AgentCore, Azure AI Foundry / Azure AI Agent Service), or equivalent.
• Familiarity with architecting for AI-specific concerns such as latency tolerance, token cost management, output non-determinism, and graceful degradation when AI services are unavailable or underperforming.
• Provide architectural direction on technical patterns and must be comfortable with hands-on prototyping and technology proof of concepts using AI assisted coding tools (Cursor, Claude Code etc.)
• Present multiple architectural design options to engineering teams and stakeholders, clearly articulating the pros, cons, risks, and trade-offs of each approach.
• Provide hands-on architectural guidance to engineering teams, including reviewing designs, participating in technical discussions, and unblocking implementation challenges.
• Perform other duties as assigned

Strategic Accountability:

Develop clear materials (architecture overviews, decision summaries, roadmap updates) that enable leadership to make informed technology decisions. Present architecture reviews, technology assessments, and modernization progress to VP-level leadership, communicating technical depth in business-relevant terms. Translate AI capabilities and limitations into business-relevant terms for non-technical stakeholders, helping leadership make informed decisions about AI adoption and investment. Influence architectural direction across teams through well-reasoned recommendations, building consensus. Build relationships across teams and encourage buy-in for architectural standards and modernization initiatives.

• Technical Expertise & Education:
• Bachelor’s in technology related field or equivalent, with 8 years of architecture experience.
• Experience with cloud-native application design across AWS, Azure, or GCP (Preferred AWS).
• Understanding of solution architectural patterns including microservices, event-driven architecture, API design, data modeling, and distributed systems concepts.
• Familiarity with integrating AI/ML services into application architectures, including LLM-based capabilities, agentic patterns, or AI-assisted decision workflows.
• Understanding of the architectural implications of non-deterministic AI components, including testing strategies, output validation, fallback design, and cost management.
• Exposure to AI orchestration concepts such as prompt chaining, tool use patterns, retrieval-augmented generation (RAG), or workflow engines that coordinate AI and deterministic steps

Strategic & Business Acumen:

• Extensive experience working an agile operational model.
• Experience supporting transformational change.
• Able to adjust plans, priorities and strategies in response to changing circumstances.
• Strong knowledge of the insurance industry, with Insurance technology experience preferred.
• Understanding of value creation and business capability models.
• Experience identifying and analyzing problems and opportunities, evaluating alternatives, and exercising sound judgment to make and commit to decisions.
• Proven ability to work collaboratively with teammates to achieve mutually responsible results.
• Strong and effective verbal, written and listening communication skills.

• Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
• 6 additional years of architecture/software engineering experience.