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AI & Multi Cloud Architect

Shaarpro

West Palm Beach, Florida • 2d ago

Easy Apply

Contract, Third Party

Depends on Experience

Multi-Cloud Architect with Contact Center AI

HPTech Inc.

Remote • 4d ago

Easy Apply

Third Party, Contract

Depends on Experience

Multi-Cloud Architect (Google Cloud Platform + AWS)

Sensiple Inc.

Remote or Hybrid in Minneapolis, Minnesota • 2d ago

Easy Apply

Third Party, Contract

Depends on Experience

Multi-Cloud Architect (Google Cloud Platform + AWS) || Remote || Contract

IT First Source

Remote • 3d ago

Easy Apply

Contract

Depends on Experience

100% REMOTE: Salesforce Technical Architect Salesforce Financial Services Cloud, Multi-Cloud & Enterprise Architecture

Parmesoft Inc.

Remote • 3d ago

Easy Apply

Full-time

$180,000+

Job Details

Skills

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

Summary

AI & Multi Cloud Architect

Tech Mahindra / NextEra Energy

Juno Beach, FL – Onsite

JD:

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 → Embedded AI → 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91122944
Position Id: 12069-40911-1789070327
Posted 2 days ago

Fitment

Dice Job Match Score™

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Similar Jobs

AI & Multi-Cloud Architecture Lead

Palm Beach, Florida

•

2d ago

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 p

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AI/Data Architect

Texas

•

Today

Position: AI / Data Architect Location: San Deigo CA, Boston MA, Princeton NJ or Dallas TX-On-site Role Summary The AI/Data Architect provides strategic oversight and technical leadership across Product Management, Data Engineering, and Data Science teams. This role defines the enterprise AI and data architecture vision, establishes standards, ensures scalable and secure solutions, and guides delivery teams from concept through production deployment. Key Responsibilities Own enterprise AI an

Third Party

Google Cloud Platform Cloud, Data & AI Consultant

No location provided

•

2d ago

Position: Google Cloud Platform Cloud, Data & AI Consultant Location: 100% Remote Role Summary We are seeking a customer-focused Cloud, Data & AI Consultant with strong expertise in Google Cloud Platform (Google Cloud Platform), cloud infrastructure, modern data platforms, AI/ML, and application modernization. The candidate will serve as a trusted advisor, helping customers design, implement, and optimize scalable cloud-native solutions while enabling engineering teams through technical leader

Easy Apply

Third Party

AI ML Ops Enterprise Architect at ONSITE- Woodland Hills, CA or Remote

Remote

•

11d ago

Hi, Hope you are doing great, : Kindly share that match the required job role. Please share only suitable candidate profiles. : Any Visa Fine, F - 15+ is Mandatory, OPT - 12+ is Mandatory Role: AI ML Ops Enterprise Architect Descriptions: "Architect and implement scalable AWS ML/AI cloud infrastructure in a multi-tenant SaaS environment. Collaborate with data scientists, data engineers, and IT teams to define requirements and best practices for ML model development, deployment, and monito

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

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

Summary

AI & Multi Cloud Architect

Tech Mahindra / NextEra Energy

Juno Beach, FL – Onsite

JD:

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 → Embedded AI → 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

Dice Id: 91122944
Position Id: 12069-40911-1789070327
Posted 2 days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI & Multi-Cloud Architecture Lead

Palm Beach, Florida

•

2d ago

Easy Apply

Contract

Depends on Experience

AI/Data Architect

Texas

•

Today

Third Party

Google Cloud Platform Cloud, Data & AI Consultant

No location provided

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2d ago

Easy Apply

Third Party

AI ML Ops Enterprise Architect at ONSITE- Woodland Hills, CA or Remote

Remote

•

11d ago

Easy Apply

Contract, Third Party

Depends on Experience