Enterprise Architect

Enterprise Architect – Solution Governance & Agentic AIThe Enterprise Architect (Contract) plays a dual accountability role, equally responsible for Enterprise Solution Governance and hands on Solution Architecture delivery, with a strong emphasis on Agentic AI workflows and cloud-native platforms. This role requires a practitioner who can operate at the Architecture Review Board (ARB) level, shaping standards and enforcing governance, while also designing, prototyping, and validating complex solutions—particularly in the area of Agentic AI, GenAI platforms, and intelligent orchestration patterns using AWS Bedrock and/or GCP Vertex AI. The ideal candidate is a hands-on architect who understands how to move seamlessly from policy and standards to working architectures and POCs, especially in highly regulated environments such as insurance.Key ResponsibilitiesEnterprise Architecture & Solution Governance (Equal Priority)Lead and execute enterprise solution governance processes, ensuring alignment with established EA standards, reference architectures, and approved integration and security patterns.Actively participate as a member of the Architecture Review Board (ARB), contributing to architectural decision-making, risk assessment, and solution approvals.Establish and operate a Permit-to-Build tollgate, governing both greenfield and modernization initiatives across all Lines of Business (LOBs), including GenAI, data, and advanced analytics solutions.Ensure all governed solutions comply with regulatory and compliance mandates (HIPAA, GDPR, SOX), with particular attention to cloud, data, and AI-driven architectures.Lead or contribute to architecture scoring and design quality assessments, ensuring solutions meet enterprise standards for resiliency, scalability, security, and maintainability.Partner closely with peer Enterprise Architects to assign primary assessors, review incoming initiatives, and maintain a forward-looking pipeline of governance demand.Solution Architecture & Hands On Agentic AI Development (Equal Priority)Design and implement end-to-end solution architectures, moving beyond conceptual models into executable designs and working prototypes, particularly in cloud-native and AI-driven domains.Lead hands-on Proofs of Concept (POCs) to validate emerging technologies, platforms, and services—specifically Agentic AI patterns such as autonomous agents, task orchestration, tool-use agents, and multi-agent workflows.Architect and build Agentic AI workflows using modern GenAI platforms, with preferred experience in:AWS Bedrock (Agents, foundation models, orchestration, integration with AWS services), and/orGCP Vertex AI (agents, pipelines, orchestration, model lifecycle management).Apply strong solution architecture practices to translate business problems into AI-enabled architectures, including prompt strategies, agent memory, tool integration, event-driven triggers, and observability.Design secure, scalable, and governed AI solutions, ensuring alignment with enterprise security, data privacy, and compliance expectations from inception through production readiness.Collaborate with engineering teams to bridge architecture and implementation, providing reference implementations, design artifacts, and technical guidance that accelerates delivery while reducing rework.Technology Evaluation & Innovation EnablementEvaluate and assess new technology platforms and AI services prior to POC approval or enterprise onboarding, balancing innovation with risk management.Drive architectural clarity around GenAI, Agentic AI, and emerging cloud-native patterns, ensuring these innovations are introduced responsibly within enterprise guardrails.Contribute to reference architecture evolution, especially for AI-enabled, event-driven, and cloud-native solutions.EA Tooling, Metrics & Enablement• Define and track solution governance KPIs using the EA tool, including technology debt, reverse demand by LOB, and approval outcomes.• Support EA enablement through SharePoint, Power Automate, PowerApps, and Power BI, improving transparency, workflow efficiency, and architectural insight.Qualifications & ExperienceArchitecture & Governance8–10+ years of experience in Enterprise and Solution Architecture, including active participation in ARBs and formal governance processes.Strong experience creating and enforcing reference architectures, standards, and patterns in regulated environments.Solution Architecture & Hands On DeliveryRecent, hands-on experience designing and building solutions—not just reviewing them—particularly in cloud-native and GenAI domains.Demonstrated experience building Agentic AI or GenAI-driven POCs, including orchestration, integration, and lifecycle considerations.Deep knowledge of AWS and/or GCP, with architectural fluency across compute, networking, storage, databases, and AI services.Education & CertificationsBachelor's or Master's degree in Computer Science, Information Technology, or related field; MBA a plus.Preferred certifications: TOGAF, AWS Solutions Architect, GCP Professional Architect, or equivalent.What This Role Delivers• Governance with credibility: Architecture decisions informed by real, hands-on solution experience.• Faster innovation: Reduced friction between architecture intent and execution through POCs and reference implementations.• Responsible AI adoption: Agentic AI solutions that are scalable, secure, and enterprise-ready from day one.