Summary:

We are seeking an experienced Cloud Subject Matter Expert (SME) with deep expertise in Microsoft Azure and Amazon Web Services (AWS) to lead cloud strategy, architecture, migration, optimization, and operational excellence initiatives. The ideal candidate will serve as a trusted advisor to stakeholders, drive cloud adoption, and ensure secure, scalable, and cost-effective cloud solutions across the organization.

Responsibilities:

• Design, implement, and maintain enterprise-scale cloud solutions on Azure and AWS.
• Lead cloud migration and modernization initiatives, including assessment, planning, and execution.
• Develop cloud architecture standards, governance frameworks, and best practices.
• Collaborate with engineering, security, infrastructure, and business teams to deliver cloud-based solutions.
• Implement and manage Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or ARM/Bicep templates.
• Optimize cloud environments for performance, reliability, security, and cost efficiency.
• Establish monitoring, logging, backup, disaster recovery, and business continuity strategies.
• Provide technical leadership and mentorship to cloud engineers and cross-functional teams.
• Ensure compliance with security, regulatory, and organizational requirements.
• Support DevOps and CI/CD initiatives to accelerate application delivery.
• Conduct cloud readiness assessments and recommend modernization strategies.
• Stay current with emerging cloud technologies, services, and industry best practices. 

Summary:

We are looking for an experienced AI Architect with strong hands-on implementation expertise in Azure AI Foundry, Generative AI, and enterprise-scale AI solution architecture. The ideal candidate will lead the design, development, deployment, and optimization of AI-powered applications using Microsoft Azure AI ecosystem, including LLM integrations, copilots, RAG pipelines, and AI governance frameworks.

Because apparently every company now wants “AI transformation” after one executive watched a 14-minute keynote and decided humans are optional.

Responsibilities:

• Design and implement AI/GenAI solutions using Microsoft Azure AI Foundry and Azure OpenAI Services
• Architect scalable enterprise AI platforms leveraging LLMs, RAG pipelines, vector databases, and AI agents
• Build and deploy AI copilots, conversational AI systems, and workflow automation solutions
• Integrate AI services with enterprise systems, APIs, CRMs, ERPs, and cloud-native applications
• Lead end-to-end implementation from POC to production deployment
• Define AI architecture standards, governance, security, and compliance practices
• Optimize prompt engineering, model orchestration, and inference performance
• Collaborate with engineering, DevOps, product, and business stakeholders
• Mentor development teams on Azure AI best practices and implementation strategies
• Evaluate emerging AI technologies and recommend scalable enterprise adoption approaches