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Multi-Cloud Architecture Lead & AI

Job

ICS Global Soft, Inc.

Juno Beach, FL (In Person)

Full-Time

Posted 2 days ago (Updated 2 hours ago) β€’ Actively hiring

Expires 6/22/2026

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Job Description

Hello, Hope you are doing great. We have an immediate Requirements for these role πŸ“Œ
Hiring:
Multi-Cloud Architecture Lead & AI πŸ“
Location:
Juno beach, FL πŸ•’
Job Type:
Full Time Job description: Role Summary Responsible for defining and advancing a cloud-agnostic, AI-enabled architecture strategy that supports enterprise analytics, automation, and operational decision-making across multi-cloud environments. This role leads architecture standards and governance across AWS and Google Cloud Platform while actively delivering hands-on prototypes, data pipelines, and AI integrations to accelerate adoption. Operating as a shared services architecture function, this role both guides and demonstrates best practices-bridging strategy and execution to ensure scalable, cost-efficient, and production-ready solutions aligned with ServiceNow CMDB/APM and Apptio models. Core Role Identity Dimension Expectation Architecture Defines standards, patterns, governance Delivery Builds POCs, pipelines, and AI integrations Model Shared service / enterprise enablement Authority Influences + demonstrates (not just advises) Cloud Multi-cloud, cloud-agnostic mindset Key Responsibilities 1. Multi-Cloud Architecture & Governance Define and implement cloud-agnostic architecture patterns across AWS and Google Cloud Platform Standardize Google Cloud Platform governance aligned to AWS controls Establish reusable reference architectures for data, AI, and infrastructure Promote abstraction via: Containers (Kubernetes) APIs Infrastructure as Code (Terraform) 2. Hands-On Enablement (POCs & Pipeline Delivery) Build proof-of-concept solutions to validate architecture patterns Develop and optimize data pipelines and integrations across systems (ServiceNow, Apptio, Jira) Implement AI-enabled workflows (model integration, automation) Provide hands-on support to delivery teams to accelerate adoption Translate architecture into working, scalable solutions 3. AI Integration & MLOps Enablement Design and implement AI-ready pipelines (structured + unstructured data)
Support:
Model integration into enterprise workflows MLOps lifecycle enablement (CI/CD, monitoring, governance) AI tool/vendor evaluation Mature organization from: POCs β†’ Embedded AI β†’ Governed enterprise AI 4. Data Architecture & Integration (CMDB/APM-Aligned) Architect data flows integrating: ServiceNow (CMDB/APM) Apptio (cost transparency) Jira (delivery data) Address key challenges: Data latency Data duplication Cost visibility gaps Enforce system-of-record and data ownership principles 5. Governance & FinOps (Advisory + Enablement) Define standards for: Cloud cost optimization (FinOps) AI governance and lifecycle management Data quality and pipeline SLAs Support KPI transparency: Cloud cost per application Data pipeline reliability AI ROI Guide teams while enabling them through working solutions 6. Platform Strategy & Shared Services Leadership Act as a central architecture leader and enabler Support teams through: Architecture reviews POC delivery Design guidance Build reusable enterprise assets: Patterns Templates Integration frameworks Required Experience 7+ years in cloud architecture, data engineering, or infrastructure Proven experience in multi-cloud environments (AWS + Google Cloud Platform) Demonstrated ability to: Design architecture and deliver working solutions Build data pipelines and integrations Strong experience with: Python, SQL ETL/ELT pipelines Infrastructure as Code (Terraform preferred) Containers (Kubernetes) AI & Modern Architecture Requirements Hands-on experience with: AI/ML integration into enterprise pipelines MLOps or AI lifecycle tooling Experience evaluating and implementing: AI platforms Automation tooling Preferred Experience ServiceNow
CMDB/APM
integration Apptio (cost allocation / FinOps) Experience solving: Cross-system duplication Data lineage challenges Exposure to Generative AI integration Success Metrics (Aligned to Your KPIs) Reduction in cloud cost per application Improvement in pipeline SLAs Reduction in duplicate data/integrations Increase in production AI-enabled workflows Adoption of multi-cloud architecture standards Number of successful POCs transitioned to production Rajesh (Thomas) Senior Technical Recruiter ICS Globalsoft Inc 1231 Greenway Drive | Ste 375 | Irving, TX 75038
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