Job Description

Job Purpose:

Lead the design, development, and implementation of AI/ML, Generative AI (Gen AI), and Agentic AI solutions aligned with business transformation objectives. Create Business impact by streamlining the AI delivery pipeline and drive the seamless execution of AI related projects Drive innovation by exploring new technology improvements in AI and conduct POCs for business cases by experimenting with existing data and infrastructures within Bank Develop scalable prototypes using Gen AI and Agentic AI frameworks. Mentor the team members with AI expertise and guide them to upskill on AI related topics with both internal and external trainings Research and publish AI advancement as part of market intelligence and involve in peer and vendor collaborations. Collaborate with business stakeholders and technology teams to identify AI-driven opportunities that enhance operational efficiency, customer experience, and decision-making capabilities. Responsible for end-to-end delivery of AI initiatives, including problem framing, data exploration, model development, validation, deployment, and post-production monitoring. Provide functional and technical leadership across AI domains--ensuring models are explainable, ethical, and in line with regulatory and governance requirements. Work cross-functionally to integrate AI capabilities into existing platforms and workflows, while promoting the adoption of emerging technologies such as autonomous agents and intelligent decision systems.

Key Result Areas:

Act as a strategic AI/ML leader, identifying and executing use cases where AI can deliver automation, intelligent decision-making, predictive insights, and operational optimization. Manage medium to complex AI/ML and Gen AI projects from concept to deployment, demonstrating strong independent contribution across solution design, development, and delivery. Lead and coordinate cross-functional, geographically distributed teams (onshore, offshore, and outsourced) delivering critical AI applications and platforms enterprise-wide. Translate business requirements into functional specifications, ensuring seamless alignment with AI/ML models, data pipelines, and intelligent automation strategies. Conduct system and process analysis to identify opportunities for AI integration that enhance agility, customer experience, and internal efficiency. Perform impact assessments for AI-driven system enhancements, evaluating potential disruptions and opportunities through intelligent simulations and scenario modeling. Bridge the gap between domain experts and AI developers, translating complex business scenarios into structured data and model-ready formats. Independently prepare high-level scenarios and test data for Proof of Concept (POC) and internal testing of AI solutions without dependency on QA teams. Lead root cause analysis (RCA) using AI-based diagnostics, anomaly detection tools, and log intelligence to prevent recurrence of system disruptions. Maintain detailed documentation for AI system configurations, including model parameters, training datasets, pipeline dependencies, and operational workflows. Apply awareness of API architecture, data lineage, and system access to ensure AI models are securely and efficiently integrated across platforms. Use AI and ML tools to support debugging and resolution of complex issues, improving speed, accuracy, and reliability of technical troubleshooting. Ensure AI/ML initiatives meet governance, audit, and regulatory compliance standards, with a focus on ethical AI, data privacy, and model explainability. Lead employee engagement and capability-building activities, with emphasis on AI fluency, experimentation, and adoption across teams. Oversee smooth transitions from development to production by embedding AI-based monitoring, alerting, and self-healing capabilities. Rigorously plan, execute, and finalize AI initiatives within deadlines, using intelligent project management and predictive planning tools. Coordinate with data engineering, infrastructure, and analytics teams to deliver seamless, scalable AI solutions that align with enterprise architecture. Maintain strict adherence to quality assurance and change management processes, exploring automation opportunities through AI-driven change risk assessments and documentation. Contribute to the full lifecycle of AI and Gen AI systems--including ideation, model design, prompt engineering, testing, deployment, and iterative refinement. Perform model selection, evaluation, and fine-tuning for Gen AI and Agentic AI use cases; build and orchestrate autonomous agents for dynamic workflows and decision support.

Knowledge,Skills and Experience:

18+ years of hands-on experience in AI/ML application development, with a focus on Generative AI and a research-oriented approach. Proven ability to apply theoretical knowledge to real-world challenges.

Proficient in Python programming. Expertise in ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. Expertise in both fundamental and advanced ML/GenAI techniques, including regression, classification, clustering, data synthesis, text/image processing, and more. Familiarity with message queues, Flask API/Fast API, storage and cloud technologies (Azure/AWS), Kubernetes/Docker, SQL, and testing frameworks. Having hands-on experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and AI-based solutions for business applications, will be considered as an asset.
Job Type: Contract
Contract length: 12 months

Pay: AED35,000.00 - AED38,000.00 per month