AI Solutions Engineer for (Offshore/Onsite)

Jobpal; Qatar; On-site; QAR 278,000 - 555,000; Full time

Job summary

Nair Systems is seeking an AI Solutions Engineer for its UAE operations, Offshore/Onsite. The role requires 6 to 8 years of experience in AI, ML, and solution architecture, with hands-on work on Azure-based platforms, data processing, and systems integration.

You will design and deploy AI solutions and drive governance and regulatory compliance in highly regulated environments. Responsibilities include building scalable AI components, integrating with Salesforce, data lakes, and APIs, and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or related field.
• Good years of experience in AI, machine learning, and solution architecture with a proven track record.
• Hands-on experience with AI tools, cloud services like Microsoft Azure, and data processing.
• Experience delivering AI in highly regulated environments with governance and compliance.

Responsibilities

• Design, develop, and deploy AI solutions across enterprise platforms.
• Drive architecture governance, code quality, and technical standards.
• Lead cross-functional teams and communicate complex concepts clearly.
• Integrate AI with legacy systems via RESTful APIs and middleware.

Skills

Analytical thinking

Leadership

Cross-functional collaboration

Communication

Education

Bachelor’s or Master’s degree in CS/Engineering/AI

Tools

Python

Java

C++

Docker

Kubernetes

RESTful APIs

Azure Cloud

Job description

Nair Systems is currently looking for AI Solutions Engineer for (Offshore/Onsite) our UAE operations with the following terms & conditions.

Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or related field.

• Good years of experience in AI, machine learning, and solution architecture, with a proven track record of designing and deploying AI solutions. Hands‑on experience with AI tools and platforms and cloud services like Microsoft Azure. Strong background in machine learning algorithms, deep learning, data processing, and systems integration. Ability to drive architecture governance, code quality, and technical standards. Proven experience delivering AI and digital transformation solutions within financial services, banking, fintech, regulatory authorities, or highly regulated environments, with a strong understanding of compliance, governance, risk management, and regulatory requirements.

Technical Skills

• Proficient in programming languages such as Python, Java, or C++.
• Familiarity with data pipeline tools and frameworks.
• Experience with cloud infrastructure, containerization (Docker, Kubernetes), and DevOps practices.
• Solid understanding of data architecture, data science, security, and privacy considerations in AI systems.
• Design AI solutions integrated with enterprise platforms (Salesforce CRM, datalakes, CMS, APIs). Hands‑on experience with frameworks like Hugging Face, LangChain, Foundry, OpenAI APIs etc.
• Demonstrated experience in designing, developing, and deploying Agentic AI solutions, including autonomous AI agents, multi‑agent systems, AI orchestration frameworks, and agent‑based workflow automation using platforms such as Azure AI Foundry, Agentforce, etc

Soft Skills

• Strong analytical and problem‑solving skills.
• Ability to communicate complex technical concepts clearly to both technical and non‑technical stakeholders.
• Leadership experience and the ability to work effectively in cross‑functional teams.
• Detail‑oriented and focused on delivering high‑quality, scalable solutions.

Data & Integration

• Familiarity with data engineering tools, data lakehouses (Fabric), and ETL pipelines.
• Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.

Experience

Experience: 6 to 8 Years

Preferred Qualifications

• Experience with advanced AI techniques such as reinforcement learning, natural language processing, or computer vision.
• Knowledge of AI ethics and bias mitigation strategies.

Terms and conditions

Joining time frame: Immediate