Artificial Intelligence Engineer

We are looking for an experienced

AI Architect / AI Solution Engineer

to lead the architecture, design, development, and end-to-end delivery of AI solutions across projects. The ideal candidate will have strong hands-on experience in

Python, Azure AI services, machine learning, cloud platforms, and AI-based video analytics

, along with the ability to work closely with technical and business stakeholders.

Key Responsibilities

AI Architecture \& Solution Delivery

• Lead AI solution architecture, design, development, and end-to-end implementation across projects.
• Develop, optimize, and deploy AI/ML models using

Python

and cloud-based AI services.

• Integrate

video analytics and video processing

capabilities into AI solutions.

• Design scalable, high-performance, reliable, and secure AI systems.
• Translate business requirements into effective AI-driven technical solutions.

Cloud \& Platform Engineering

• Design and implement AI solutions using

Microsoft Azure AI and cloud services

.

• Support

edge AI deployment

strategies where applicable.

• Apply DevOps practices for AI development, deployment, monitoring, and lifecycle management.
• Contribute to cloud architecture, deployment automation, and AI platform optimization.

Stakeholder \& Delivery Collaboration

• Collaborate with cross-functional teams to identify, evaluate, and implement AI opportunities.
• Participate in requirements gathering and review functional specifications with Business Analysts.
• Work closely with technical leads and architects to ensure solutions align with established architecture principles and standards.
• Support project planning, technical discussions, and end-to-end solution delivery.

Quality \& Governance

• Participate in peer reviews and promote high-quality coding and solution design practices.
• Ensure solutions comply with technical standards, security policies, governance requirements, and project guidelines.
• Identify and resolve technical challenges related to AI model performance, scalability, and deployment.

Leadership \& Continuous Improvement

• Mentor and guide junior AI engineers, developers, and data scientists.
• Stay updated with emerging

AI/ML technologies, cloud services, and industry trends

.

• Contribute to strategic AI initiatives and continuous improvement of engineering practices.
• Promote best practices across AI development, architecture, deployment, and operations.

Required Skills \& Experience

• 4\+ years of hands-on experience

in AI development and implementation.

• Strong proficiency in

Python

.

• Hands-on experience with

Microsoft Azure AI and cloud services

.

• Strong understanding of

Machine Learning

concepts and experience with frameworks such as

TensorFlow or PyTorch

.

• Experience with

video analytics, computer vision, or AI-based video processing

.

• Knowledge of

DevOps practices

within AI, ML, or data engineering projects.

• Experience working in

Agile delivery environments

.

• Strong solution architecture, problem-solving, analytical, and strategic thinking skills.
• Excellent communication and stakeholder management skills.
• Proven ability to lead technical discussions and mentor junior team members.

Preferred Certifications

• Microsoft Certified: Azure AI Engineer Associate
• Certified Artificial Intelligence Professional (CAIP)