Principal Solution Architect, Enterprise API Platform

The Guardian Life Insurance Company of America
New York, NY, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Software Design Patterns Data Streaming Api Management

Job description

Experteer Overview In this role you shape enterprise-scale architecture for Guardian’s API platform, driving reusable patterns, guardrails, and cross-team alignment. You partner with Architecture, Engineering, Security, and Product teams to ensure scalable, secure, and compliant solutions that support modernization and AI-enabled capabilities. You influence strategy and pragmatic delivery across portfolios, balancing risks and business needs. You will lead high-impact architectural decisions and mentor engineers to raise organizational capabilities. Compensation / Benefits * Define and maintain reference architectures and reusable design patterns across platforms and domains * Establish architectural guardrails to enable scalable, secure solution design * Provide oversight for cross-portfolio design decisions and ensure alignment with enterprise standards * Lead enterprise-level decisions for complex initiatives spanning multiple value streams * Drive early engagement to identify dependencies, risks, and scalability constraints * Partner on build-vs-buy guidance and integration patterns for API platforms * Mentor architects and engineers to elevate architectural maturity * Represent architecture in enterprise forums and align roadmaps with product and business leadership * Shape API modernization and domain-aligned data models, enabling AI-enabled platforms * Translate architecture decisions into business outcomes and communicate value and risk to leadership Tasks * Deep experience designing and governing enterprise-scale architectures across multiple teams * Experience modernizing API ecosystems, including management and lifecycle platforms * Ability to define and drive adoption of standards, frameworks, and reusable patterns * Strong understanding of APIs, cloud platforms, data flows, and AI considerations * Proven ability to operate at strategic and hands-on levels and influence without direct authority * Excellent communication skills for technical and non-technical audiences * Experience in regulated/risk-sensitive environments with governance needs * Mentoring experience and collaboration in Agile/product-based delivery models * Proven track record balancing pragmatic delivery with disruptive architectural thinking * Strong knowledge of MCP, agentic AI enablement, context-layer architecture, observability, governance, and security Key requirements *

Requirements

strategy risks, and scalability constraints * Partner on build-vs-buy guidance and integration patterns for API platforms * Mentor architects and engineers to elevate architectural maturity * Represent architecture in enterprise forums and align roadmaps with product and business leadership * Shape API modernization and domain-aligned data models, enabling AI-enabled platforms * Translate architecture decisions into business outcomes and communicate value and risk to leadership Tasks * Deep experience designing and governing enterprise-scale architectures across multiple teams * Experience modernizing API ecosystems, including management and lifecycle platforms * Ability to define and drive adoption of standards, frameworks, and reusable patterns * Strong understanding of APIs, cloud platforms, data flows, and AI considerations * Proven ability to operate at strategic and hands-on levels and influence without direct authority * Excellent communication skills for technical and aaaaaaaaaaan _ audiences * Experience in regulated/risk-sensitive environments with governance needs * Mentoring experience and collaboration in Agile/product-based delivery models * Proven track record balancing pragmatic delivery with disruptive architectural thinking * Strong knowledge of MCP, agentic AI enablement, context-layer architecture, observability, governance, and security Key requirements *

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Good distractions

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