Principal AI Engineer

About Mobiz

Mobiz is a global technology services leader Microsoft-aligned managed services and cloud solutions provider empowering mid-market and enterprise organizations across North America and the Middle East. We deliver end-to-end IT operations Modern Work and Security Data and AI cybersecurity infrastructure and digital transformation servicesdriving resilience innovation and measurable business impact at scale.

With a Solutions Partner designation and active pursuit of Azure Expert MSP status Mobiz combines the agility of a boutique consultancy with the delivery rigor of a tier-1 integrator. Our NOC and SOC teams operate as the always-on backbone of client environments monitoring thousands of endpoints network nodes and cloud workloads around the clock.

What Can You Expect

Every day at Mobiz we work with a deep sense of purpose. We continuously innovate. Our mission is to empower our clients to do more through transformation. Youll work in a collaborative environment alongside highly talented people that improve client operations and exceed expectations. We strive to simplify technology challenges and no less.

Who Are We Looking For
We are looking for a Principal AI Engineer with 7 years of software development and technical leadership experience who is highly skilled in rapid prototyping Generative AI and AI solution delivery. The ideal candidate is an out-of-the-box thinker innovation-driven and delivery-focused with the ability to quickly turn ideas into practical scalable solutions. Strong hands-on engineering skills technical leadership problem-solving ability and a passion for emerging AI technologies are essential.

Key Responsibilities:

1. AI Engineering & Solution Development

• Design develop and implement scalable AI/ML and Generative AI solutions for enterprise and client requirements.
• Lead AI solution development from ideation and rapid prototyping through production deployment.
• Develop AI-powered applications using Large Language Models (LLMs) Generative AI NLP deep learning RAG AI agents and related technologies.
• Integrate AI capabilities into existing products applications and enterprise platforms.
• Develop test evaluate and optimize AI/ML models for accuracy performance scalability and cost efficiency.

2. Rapid Prototyping & Innovation

• Drive a rapid experimentation and prototyping approach to validate ideas and technologies quickly.
• Translate ambiguous business and technical challenges into practical AI solutions.
• Explore emerging AI technologies frameworks models and tools and identify opportunities for innovation.
• Apply out-of-the-box thinking to solve complex problems and create differentiated AI solutions.
• Balance speed of experimentation with technical quality scalability security and production readiness.

3. Technical Leadership & Architecture

• Provide technical leadership across AI engineering initiatives and establish best practices for AI development.
• Design scalable secure reliable and maintainable AI architectures.
• Lead technical discussions architecture reviews solution design sessions and technical decision-making.
• Mentor AI/ML engineers and development teams and contribute to their technical growth.
• Collaborate with software engineers data scientists architects product teams and business stakeholders.

4. Cloud MLOps & Deployment

• Design and deploy AI solutions using Microsoft Azure AI services Azure OpenAI Azure Machine Learning and related Azure technologies.
• Implement MLOps CI/CD automated testing monitoring and model lifecycle management.
• Optimize AI applications and models for cloud performance scalability resource utilization and cost.
• Work with containers Docker Kubernetes and cloud-native technologies.
• Support multi-cloud AI architectures involving Azure AWS and/or Google Cloud where required.

5. Engineering Excellence & Delivery

• Establish and promote coding testing documentation deployment and engineering best practices.
• Develop and maintain high-quality production-ready Python code and AI/ML services.
• Design and integrate REST APIs microservices databases and AI services.
• Troubleshoot complex technical issues and drive root-cause analysis.
• Take ownership of technical delivery and ensure AI solutions meet business and client objectives.
• Document AI architectures code models technical decisions and deployment processes.

6. Collaboration & Continuous Learning

• Work closely with internal teams and clients to understand requirements and deliver innovative AI solutions.
• Communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Stay current with advancements in AI Generative AI LLMs AI agents cloud technologies and AI engineering practices.
• Act as a technical advisor and AI subject-matter expert across projects and initiatives.

Candidate Profile: Requirements & Preferred Qualifications

Required Qualifications

• Bachelors degree in Computer Science Artificial Intelligence Engineering or a related technical field.
• 7 years of professional software development experience with demonstrated technical leadership or lead experience.
• Strong hands-on experience developing and deploying AI/ML solutions particularly Generative AI applications.
• Proven experience with rapid prototyping experimentation and iterative delivery.
• Strong programming skills in Python.
• Strong understanding of AI/ML deep learning NLP Generative AI and Large Language Models.
• Experience with AI/ML frameworks such as PyTorch TensorFlow Keras or equivalent.
• Strong experience with Microsoft Azure and Azure AI services.
• Experience with Azure OpenAI Azure Machine Learning or equivalent AI cloud services.
• Understanding of MLOps CI/CD model lifecycle management and production AI deployment.
• Experience with REST APIs microservices NoSQL databases RDBMS and system optimization.
• Experience with containerization technologies such as Docker and Kubernetes.
• Strong understanding of software engineering principles application architecture and cloud-native development.
• Innovation-driven and out-of-the-box mindset with the ability to challenge conventional approaches and develop creative solutions.
• Strong ownership accountability analytical thinking and problem-solving skills.
• Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders.
• Ability to work independently and effectively within cross-functional teams.
• Strong delivery focus with the ability to operate effectively in a fast-paced environment.

Preferred Qualifications

• Experience with RAG vector databases prompt engineering AI agents and agentic AI architectures.
• Experience with Databricks Microsoft Fabric/Synapse and Power BI.
• Experience with multi-cloud environments including AWS and Google Cloud.
• Experience with enterprise-scale AI implementations and client-facing technical engagements.
• Experience mentoring engineers and leading technical teams.
• Experience with AI governance responsible AI security and compliance.
• Experience taking AI/ML prototypes from Proof of Concept (PoC) to production.

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Developer Associate
• Microsoft Certified: DevOps Engineer Expert
• Databricks certifications are a plus.
  

Core Technical Skill Set

• Python and modern software engineering practices
• Generative AI and Large Language Models (LLMs)
• Azure OpenAI and Azure AI Services
• Azure Machine Learning
• Machine Learning and Deep Learning
• Natural Language Processing (NLP)
• RAG vector databases embeddings and semantic search
• Prompt Engineering and AI Agents
• PyTorch TensorFlow Keras
• REST APIs and microservices
• Docker Kubernetes and containerized deployments
• MLOps and CI/CD
• Azure DevOps and/or GitHub Actions
• Databricks Synapse/Microsoft Fabric
• NoSQL and RDBMS technologies
• Cloud architecture and distributed systems
• AI model optimization monitoring and production deployment
  

Core Competencies (Power Skills)

• Innovation & Out-of-the-Box Thinking
• Rapid Prototyping & Experimentation
• Technical Leadership
• Communication
• Collaboration
• Critical Thinking & Decision Making
• Problem Solving & Root Cause Analysis
• Ownership & Accountability
• Delivery & Results Orientation
• Adaptability & Continuous Learning
• Mentoring & Knowledge Sharing
• Time & Priority Management
• Customer & Business Focus
• Automation & Process Improvement
  

What We Offer

• A team of bright hard-working and innovative people that will contribute to your growth.
• Competitive Salary and comprehensive benefits plan.
• A dynamic and collaborative work environment with opportunity to work with cutting-edge technology and innovative solutions.

Other
This is a full-time on-site position based in Karachi Pakistan.

Equal Opportunity & Diversity Commitment

At Mobiz we believe that diverse perspectives experiences and backgrounds strengthen our organization and drive innovation. We are committed to fostering an inclusive workplace where all employees are valued respected and empowered to succeed. As an equal opportunity employer we make employment decisions based on qualifications merit and business needs without regard to race gender age religion disability national origin or any other protected characteristic.

What Happens Next

Thank you for your interest in becoming part of Mobiz. We are committed to attracting exceptional talent and building a team that drives innovation excellence and meaningful impact. Every application is reviewed with care and consideration. If your experience and qualifications are a match for the role a member of our team will connect with you regarding the next stage of the hiring process.

We appreciate your interest in joining Mobiz and wish you success in your career endeavors.

Required Experience:

Manager