This position is 100% remote. This is a 6 month contract and needs to meet Client full-time conversion policies. Those dependent on a work permit sponsor now or anytime in the future (ie H1B, OPT, CPT, etc) do not meet Client requirements for this opening.
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 Google Cloud Platform 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 Google Cloud Platform 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.
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 Google Cloud Platform, with architectural fluency across compute, networking, storage, databases, and AI services.
Education & Certifications
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