Enterprise Architect

Enterprise Architect - Solution Governance & Agentic AI
New York, NY - hybrid
6 months with possible extension

Position Summary
The 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 Responsibilities
Enterprise 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:
o AWS Bedrock (Agents, foundation models, orchestration, integration with AWS services), and/or
o GCP 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 Enablement
• Evaluate 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 & Experience
Architecture & Governance
• 8-10+ 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 Delivery
• Recent, 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 & Certifications
• Bachelor's or Master's degree in Computer Science, Information Technology, or related field; MB 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.