Agentic AI Solutions Engineer (Banking) | Nair Systems | UAE

Nair Systems; United Arab Emirates; On-site; AED 150,000 - 230,000; Full time

Job summary

Nair Systems is seeking an experienced Agentic AI Solutions Engineer to design, develop, and deploy advanced AI solutions within the banking sector in the UAE. This role emphasizes autonomous agents, AI orchestration, and cloud-native architectures to support digital transformation in highly regulated financial environments.

Responsibilities include architecting AI platforms, integrating with enterprise systems, ensuring governance, and delivering scalable, compliant AI solutions for banking

Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related field.

Responsibilities

• Design and implement Agentic AI solutions for banking and financial services environments.
• Develop autonomous AI agents and multi-agent orchestration frameworks.
• Build AI-powered workflow automation solutions using platforms such as Azure AI Foundry and Agentforce.
• Design secure AI architectures integrated with enterprise applications and business processes.
• Develop and deploy machine learning and generative AI solutions.
• Collaborate with data engineering teams to build and optimize data pipelines.

Skills

Python

AI/ML deployment

REST APIs

Data integration

Machine Learning

Education

Bachelor’s or Master’s Degree in Computer Science, AI, Engineering, Data Science, or related field

Tools

Docker

Kubernetes

Azure

Job description

Job Title: Agentic AI Solutions Engineer (Banking) | Nair Systems | UAE

Recruiting Company: Nair Systems

Job Location: UAE (Onsite / Offshore Opportunities)

Job Type: Full-Time

Industry: Banking | Artificial Intelligence | Digital Transformation

Experience Required: 6-8 Years

Joining Requirement: Immediate

Position Summary

Nair Systems is seeking an experienced Agentic AI Solutions Engineer to design, develop, and deploy advanced AI solutions within the banking sector. This role focuses on Agentic AI, autonomous agents, AI orchestration frameworks, enterprise integrations, and cloud-native AI architectures that support digital transformation initiatives in highly regulated financial environments.

Detailed Job Description

As an Agentic AI Solutions Engineer, you will be responsible for architecting and implementing next-generation AI solutions that leverage autonomous agents, multi-agent systems, and AI-driven workflow automation. You will work closely with business stakeholders, technology teams, enterprise architects, data engineers, and compliance functions to deliver scalable and secure AI platforms aligned with banking and regulatory requirements.

The role requires expertise across machine learning, cloud infrastructure, AI orchestration, enterprise integrations, model deployment, and governance frameworks. You will contribute to AI strategy, architecture standards, and solution delivery across complex banking ecosystems.

Key Responsibilities

• Design and implement Agentic AI solutions for banking and financial services environments.
• Develop autonomous AI agents and multi-agent orchestration frameworks.
• Build AI-powered workflow automation solutions using platforms such as Azure AI Foundry and Agentforce.
• Design secure AI architectures integrated with enterprise applications and business processes.
• Develop and deploy machine learning and generative AI solutions.
• Integrate AI solutions with CRM systems, data lakes, APIs, CMS platforms, and enterprise applications.
• Design scalable cloud-native AI solutions using Microsoft Azure services.
• Collaborate with data engineering teams to build and optimize data pipelines.
• Establish AI architecture governance, coding standards, and quality controls.
• Support model deployment, monitoring, lifecycle management, and optimization.
• Ensure compliance with data privacy, security, and regulatory requirements.
• Participate in digital transformation and AI modernization initiatives within banking environments.
• Provide technical leadership and guidance across AI implementation projects.

Required Qualifications & Skills

• Bachelor’s or Master’s Degree in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related field.
• 6-8 years of experience in AI, Machine Learning, Solution Architecture, or Enterprise AI Engineering.
• Proven experience designing and deploying enterprise AI solutions.
• Strong expertise in Machine Learning, Deep Learning, and AI model deployment.
• Experience working in Banking, Financial Services, FinTech, or highly regulated sectors.
• Strong understanding of regulatory compliance, risk management, and governance frameworks.
• Proficiency in Python.
• Experience with Java and/or C++.
• Experience with Azure cloud services and AI platforms.
• Strong understanding of data engineering and data architecture principles.
• Experience with containerization technologies including Docker and Kubernetes.
• Knowledge of DevOps and MLOps practices.
• Experience integrating AI solutions through REST APIs and middleware platforms.
• Strong analytical, troubleshooting, and problem-solving skills.

Agentic AI & AI Platform Experience

• Azure AI Foundry
• Agentforce
• Autonomous AI Agents
• Multi-Agent Systems
• AI Orchestration Frameworks
• Agent-Based Workflow Automation
• OpenAI APIs
• Hugging Face
• LangChain
• Foundry Platforms
• Enterprise AI Integrations

Data & Integration Skills

• Microsoft Fabric and Data Lakehouse environments.
• ETL and ELT pipeline architectures.
• Enterprise data integration design.
• API-driven architectures.
• Enterprise platform integrations including:
  • Salesforce CRM
  • Data Lakes
  • Content Management Systems
  • Customer Platforms
  • Enterprise Applications

Preferred Qualifications

• Experience with Natural Language Processing (NLP).
• Experience with Reinforcement Learning.
• Experience with Computer Vision solutions.
• Knowledge of AI ethics and responsible AI frameworks.
• Experience implementing bias mitigation strategies in AI systems.
• AI governance and model risk management expertise.
• Cloud AI certifications (Azure AI Engineer, Azure Solutions Architect, etc.).

Recruitment Pro Tip

For Agentic AI positions, employers are looking for practical implementation experience rather than purely research-based expertise. Highlight AI platforms you’ve deployed, autonomous agent frameworks you’ve built, enterprise integrations delivered, cloud-native AI architectures designed, and measurable business outcomes such as automation gains, productivity improvements, customer experience enhancements, compliance efficiencies, or cost reductions. Experience delivering AI solutions within banking or regulated environments will be a major differentiator.