AI Architect

Veriipro; Houston (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Veriipro is seeking an experienced AI Architect to lead enterprise-scale AI initiatives, cloud modernization, and digital transformation. You will drive AI strategy, design scalable and secure cloud solutions on Azure and GCP, and modernize legacy apps using microservices, APIs, and container-based architectures.

The role requires leadership across cross-functional teams, governance, and security considerations, with a strong emphasis on Generative AI implementations and customer-facing

Qualifications

• 10+ years of software engineering and enterprise application delivery experience.
• 5+ years of Azure and/or Google Cloud Platform (GCP) architecture experience.
• 3+ years of hands-on experience delivering AI and Generative AI solutions.
• Proven experience leading enterprise digital transformation and customer-facing platform initiatives.
• Strong knowledge of architectural governance, cloud security, and operational best practices.
• Excellent leadership, stakeholder management, and solution architecture skills.

Responsibilities

• Lead enterprise application modernization, cloud transformation, and AI architecture initiatives.
• Design scalable, secure, and highly available solutions across Microsoft Azure and Google Cloud Platform (GCP).
• Define cloud architecture, modernization roadmaps, governance frameworks, and technology standards aligned with business objectives.
• Modernize legacy applications using cloud-native architectures, microservices, APIs, containers, and Azure PaaS services.
• Lead migration of enterprise applications from on-premises environments to Azure/GCP.
• Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI technologies.
• Develop enterprise copilots, intelligent assistants, document intelligence platforms, and knowledge management solutions.
• Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic search.
• Establish security, scalability, performance, reliability, and operational best practices for cloud and AI platforms.
• Collaborate with business stakeholders, engineering teams, and product leaders to deliver customer-facing digital solutions.
• Mentor development teams and provide technical leadership throughout solution delivery.

Skills

Azure

GCP

Cloud Architecture

Enterprise Architecture

Microservices

APIs

Containers

Generative AI

Leadership

Stakeholder Management

Tools

Azure AI

OpenAI

Vector Databases

Semantic Search

Job description

We are seeking an experienced AI Architect to lead the design and delivery of enterprise-scale AI, cloud modernization, and digital transformation initiatives. The ideal candidate will have deep expertise in Azure and Google Cloud Platform (GCP), enterprise application architecture, cloud-native development, and Generative AI technologies. This role will drive AI strategy, architect scalable and secure solutions, modernize legacy applications, and lead the implementation of intelligent enterprise platforms.

Roles and Responsibilities

• Lead enterprise application modernization, cloud transformation, and AI architecture initiatives.
• Design scalable, secure, and highly available solutions across Microsoft Azure and Google Cloud Platform (GCP).
• Define cloud architecture, modernization roadmaps, governance frameworks, and technology standards aligned with business objectives.
• Modernize legacy applications using cloud-native architectures, microservices, APIs, containers, and Azure PaaS services.
• Lead migration of enterprise applications from on-premises environments to Azure/GCP.
• Architect and implement enterprise AI and Generative AI solutions using Azure AI and OpenAI technologies.
• Develop enterprise copilots, intelligent assistants, document intelligence platforms, and knowledge management solutions.
• Design Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and semantic search.
• Establish security, scalability, performance, reliability, and operational best practices for cloud and AI platforms.
• Collaborate with business stakeholders, engineering teams, and product leaders to deliver customer-facing digital solutions.
• Mentor development teams and provide technical leadership throughout solution delivery.

Required Qualifications

• 10+ years of software engineering and enterprise application delivery experience.
• 5+ years of Azure and/or Google Cloud Platform (GCP) architecture experience.
• 3+ years of hands-on experience delivering AI and Generative AI solutions.
• Proven experience leading enterprise digital transformation and customer-facing platform initiatives.
• Strong expertise in cloud architecture, application modernization, and enterprise solution design.
• Experience designing microservices-based, API-driven, cloud-native applications.
• Strong knowledge of architectural governance, cloud security, and operational best practices.
• Excellent leadership, stakeholder management, and solution architecture skills.