Azure AI Engineer - Pakistan
WFA Digital Insight
As the demand for AI-powered solutions continues to skyrocket, companies are scrambling to find top talent to lead their digital transformation. With the remote job market booming, professionals with expertise in Azure AI and digital skills are in high demand. In fact, the need for skilled AI engineers has grown by over 40% in the past two years, with no signs of slowing down. eduCLaaS is at the forefront of this shift, and their Azure AI Engineer role is an exciting opportunity for those looking to make a real impact. Before applying, candidates should be aware that this position requires a unique blend of technical expertise and business acumen, as well as the ability to collaborate with cross-functional teams to drive results.
Job Description
About the Role
The Azure AI Engineer role at eduCLaaS is a critical position that requires a deep understanding of AI, machine learning, and Azure applications. As an Azure AI Engineer, you will be responsible for designing, building, and deploying AI-powered applications on Azure, with a focus on large language models (LLMs) and copilot technologies. You will work closely with data engineers and business teams to create production-ready AI solutions that are scalable, secure, and impactful. Your day-to-day responsibilities will include implementing multi-LLM orchestration, integrating AI solutions into business processes, and deploying AI apps on Azure.The ideal candidate will have a strong technical background, with a solid understanding of Azure AI Services, Azure OpenAI, and related technologies. You will be expected to stay up-to-date with the latest developments in AI, machine learning, and Azure, and to apply this knowledge to drive innovation and growth within the company. The role will also require excellent communication and collaboration skills, as you will be working with cross-functional teams to drive results and achieve business goals.
The Azure AI Engineer role is part of a larger team focused on digital transformation and innovation. You will be working with a talented group of professionals who are passionate about using technology to drive business results. The team is led by an experienced manager who is committed to fostering a culture of innovation and collaboration. You will have the opportunity to work on a wide range of projects, from chatbots and knowledge assistants to enterprise copilots and AI-powered automation.
What You Will Do
- Design, build, and deploy AI-powered applications on Azure, with a focus on LLMs and copilot technologies
- Implement multi-LLM orchestration across Azure OpenAI, OpenAI, and other providers
- Work with data engineers to leverage datasets for RAG workflows
- Integrate AI solutions into business processes using Power Platform
- Deploy AI apps on Azure (Functions, App Services, AKS, VMs)
- Implement CI/CD and MLOps pipelines using Azure DevOps or GitHub Actions
- Monitor performance, reliability, and cost using Azure Monitor and Application Insights
- Maintain technical documentation and reusable assets
- Stay current with Azure AI, Copilot, and related technologies
- Collaborate with cross-functional teams to drive results and achieve business goals
- Participate in agile development methodologies, including sprint planning and retrospectives
What We Are Looking For
- Bachelor's or Master's degree in Computer Science, AI/ML, or related field
- 5-6 years of experience in AI, software development, or Azure applications
- Microsoft certifications: AI-102, AZ-204, DP-100, AZ-400
- Hands-on experience with Azure AI Services and Azure OpenAI
- Experience with Copilot Studio and Power Platform
- Proficiency in Python or C# for AI/LLM development
- Experience deploying applications on Azure
- Understanding of security, governance, and compliance in Azure
- Excellent communication and collaboration skills
- Ability to work in a fast-paced, dynamic environment
- Strong problem-solving skills and attention to detail
Nice to Have
- Experience integrating AI into enterprise systems (CRM, ERP, LMS)
- Prompt engineering, fine-tuning, and evaluation of LLMs
- Infrastructure-as-code experience: ARM, Bicep, or Terraform
- Agile/Scrum experience
- Experience with cloud-based AI platforms, such as Google Cloud AI Platform or Amazon SageMaker
- Familiarity with containerization using Docker and Kubernetes
Benefits and Perks
- Competitive salary and benefits package
- Opportunity to work with a talented team of professionals who are passionate about AI and digital transformation
- Flexible working hours and remote work options
- Professional development opportunities, including training and certification programs
- Access to the latest technologies and tools, including Azure AI Services and Azure OpenAI
- Collaborative and dynamic work environment
- Recognition and reward for outstanding performance
- Comprehensive health and wellness program, including medical, dental, and vision coverage
- Generous PTO and holiday schedule
- Retirement savings plan with company match
- Employee discounts on company products and services
- Access to a network of professionals in the AI and tech industries
How to Stand Out
- Make sure to highlight your experience with Azure AI Services and Azure OpenAI in your application, as these are key requirements for the role.
- Be prepared to provide examples of your work with LLMs and copilot technologies, including any projects or deployments you have worked on.
- Familiarize yourself with the Microsoft certifications required for the role, and be prepared to discuss your experience with these technologies.
- Showcase your ability to work in a fast-paced, dynamic environment, and highlight your problem-solving skills and attention to detail.
- Be prepared to discuss your experience with agile development methodologies, including sprint planning and retrospectives.
- Emphasize your ability to communicate complex technical concepts to non-technical stakeholders, and highlight your experience working with cross-functional teams.
- Don't be afraid to ask questions about the role and the company during the interview process - it shows that you are interested in the position and willing to learn more.
This is a remote position listed on WFA Digital, the platform for professionals who work from anywhere. Browse more remote jobs across all categories.