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Enterprise Solutions Architect as 100% Remote

Amicis Global Technologies, WorkFromHome, CT, United States


Overview

Job Title: Enterprise Solutions Architect   Location: 100% Remote   Duration: 06 Months   Pay Rate: $100.00 - $120.00/- on W2

Note: Kindly share your most updated resume.

Responsibilities

  • Enterprise Architecture & Solution Governance (Equal Priority): Lead and execute enterprise solution governance processes, ensuring alignment with EA standards, reference architectures, and approved integration and security patterns.
  • Act 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 greenfield and modernization initiatives across all Lines of Business (LOBs), including GenAI, data, and advanced analytics solutions.
  • Ensure governed solutions comply with regulatory and compliance mandates (HIPAA, GDPR, SOX), with emphasis on cloud, data, and AI-driven architectures.
  • Lead or contribute to architecture scoring and design quality assessments to meet enterprise standards for resiliency, scalability, security, and maintainability.
  • Partner with peer Enterprise Architects to assign primary assessors , review incoming initiatives, and maintain a forward-looking governance demand pipeline.

Solution Architecture & Hands On Agentic AI Development

  • Design and implement end-to-end solution architectures , moving from conceptual models to executable designs and working prototypes , particularly in cloud-native and AI-driven domains.
  • Lead hands-on Proofs of Concept (POCs) validating 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
  • 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; MBA a plus.
  • Preferred certifications: TOGAF, AWS Solutions Architect, GCP Professional Architect, or equivalent .
  • Experience managing and enhancing the existing solutions architect process; familiarity with GenAI, Power Platform (Power Automate, PowerApps, Power BI)

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.

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