Enterprise Architect - Solution Governance & Agentic AI
Role details
Job location
Tech stack
Job description
Software Guidance & Assistance, Inc., (SGA), is searching for an Enterprise Architect - Solution Governance & Agentic AI for a CONTRACT assignment with one of our premier INSURANCE clients in HARTFORD, CT (Remote) ., 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., 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:
- AWS Bedrock (Agents, foundation models, orchestration, integration with AWS services), and/or
- 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.
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.
Requirements
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
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field; MBA a plus.
- Preferred certifications: TOGAF, AWS Solutions Architect, Google Cloud Platform Professional Architect, or equivalent.