Enterprise Architecture & Solution Governance (Equal Priority)
Lead and executeÂ
enterprise solution governance processes, ensuring alignment with established EA standards, reference architectures, and approved integration and security patterns.
Actively participate as aÂ
member of the Architecture Review Board (ARB), contributing to architectural decision-making, risk assessment, and solution approvals.
Establish and operate aÂ
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 withÂ
regulatory and compliance mandates (HIPAA, GDPR, SOX), with particular attention to cloud, data, and AI-driven architectures.
Lead or contribute toÂ
architecture scoring and design quality assessments, ensuring solutions meet enterprise standards for resiliency, scalability, security, and maintainability.
Partner closely with peer Enterprise Architects toÂ
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 intoÂ
executable designs and working prototypes, particularly in cloud-native and AI-driven domains.
LeadÂ
hands-on Proofs of Concept (POCs) to validate emerging technologies, platforms, and services—specificallyÂ
Agentic AI patterns such as autonomous agents, task orchestration, tool-use agents, and multi-agent workflows.
Architect and buildÂ
Agentic AI workflows using modern GenAI platforms, withÂ
preferred experience in:
AWS Bedrock (Agents, foundation models, orchestration, integration with AWS services), and/or
GCP Vertex AIÂ (agents, pipelines, orchestration, model lifecycle management).
Apply strong solution architecture practices toÂ
translate business problems into AI-enabled architectures, including prompt strategies, agent memory, tool integration, event-driven triggers, and observability.
DesignÂ
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 toÂ
bridge architecture and implementation, providing reference implementations, design artifacts, and technical guidance that accelerates delivery while reducing rework.
Technology Evaluation & Innovation Enablement
Evaluate and assessÂ
new technology platforms and AI services prior to POC approval or enterprise onboarding, balancing innovation with risk management.
Drive architectural clarity aroundÂ
GenAI, Agentic AI, and emerging cloud-native patterns, ensuring these innovations are introduced responsibly within enterprise guardrails.
Contribute toÂ
reference architecture evolution, especially for AI-enabled, event-driven, and cloud-native solutions.
EA Tooling, Metrics & Enablement
Define and trackÂ
solution governance KPIs using the EA tool, including technology debt, reverse demand by LOB, and approval outcomes.
Support EA enablement throughÂ
SharePoint, Power Automate, PowerApps, and Power BI, improving transparency, workflow efficiency, and architectural insight.
Qualifications & Experience
Architecture & Governance
8–10+ years of experience inÂ
Enterprise and Solution Architecture, includingÂ
active participation in ARBs and formal governance processes.
Strong experience creating and enforcingÂ
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 inÂ
cloud-native and GenAI domains.
Demonstrated experience buildingÂ
Agentic AI or GenAI-driven POCs, including orchestration, integration, and lifecycle considerations.
Deep knowledge ofÂ
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; MBA a plus.
Preferred certifications:Â
TOGAF, AWS Solutions Architect, GCP Professional Architect, or equivalent.
 Building it in power tools - power automate, power app, powerbi (need experience with those)