Senior AI Engineer

About Commercial Bank Of Qatar

Job Summary

• The Senior AI Engineer is responsible for leading the design, development, and deployment of complex Agentic AI solutions and enterprise AI platforms within the Data & AI Lab. This senior role requires deep expertise in AI engineering, cloud architecture, and integration patterns, combined with financial services industry experience.
• The position serves as a technical leader for AI initiatives, providing guidance on architecture decisions, best practices, and technology selection. The Senior AI Engineer will drive the adoption of AI orchestration frameworks (MCP), cloud-native AI services, and modern AI tooling across the organization.
• The role requires a balance of hands-on technical delivery and technical leadership, ensuring that AI solutions are production-grade, scalable, and aligned with banking regulatory requirements.
• ****Key Accountabilities****

• Agentic AI Architecture & Development

• Lead the design and implementation of complex Agentic AI solutions including autonomous workflows, multi-agent systems, and enterprise AI orchestration.
• Define architecture patterns and best practices for AI agent development and Model Context Protocol (MCP) integrations.
• Drive innovation in AI capabilities, evaluating emerging technologies and recommending adoption strategies.

• AI Platform Leadership

• Architect and oversee development of AI platform components including vector stores, embedding pipelines, and retrieval systems.
• Design scalable document parsing, processing, and metadata extraction frameworks for enterprise knowledge management.
• Define API standards and integration patterns for AI services consumption across the bank.

• Cloud Architecture & Infrastructure

• Lead cloud architecture for AI solutions on Azure and GCP, ensuring scalability, security, and cost optimization.
• Design event-driven architectures using Kafka for real-time AI applications and streaming use cases.
• Establish infrastructure standards for model serving on OpenShift/Kubernetes, monitoring, and MLOps practices.
• Technical Leadership
• Provide technical mentorship to AI Engineers and contribute to team capability building.
• Lead technical design reviews, code reviews, and architecture discussions.
• Ensure adherence to best practices: CI/CD, code management, testing, knowledge management, and documentation.
• Collaborate with enterprise architecture and IT teams to ensure AI solutions align with bank-wide technology strategy and target data architecture.
• Stakeholder Engagement
• Partner with AI Product Owners and business stakeholders to translate requirements into technical solutions.
• Communicate technical concepts and trade-offs to senior management and steering committees.
• Contribute to AI governance, ensuring solutions comply with data policies, ethical standards, and regulatory requirements.
• Define and maintain SLAs for AI solutions, implementing necessary monitoring and alerting.

• AI & ML Engineering

• Deep expertise in LLMs, embedding models, and generative AI architectures.
• Advanced experience with AI orchestration frameworks, complex agent development, and multi-agent systems.
• Expert knowledge of vector databases, RAG architectures, and knowledge retrieval patterns.
• Strong background in deep learning frameworks (TensorFlow, PyTorch) and model deployment tools (MLflow, TFX).
• End-to-end ML lifecycle management and model monitoring.
• Software Engineering
• Expert proficiency in Python (Advanced level) and AI/ML frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar).
• Strong experience with API design, microservices architecture, and event-driven architecture.
• SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries).
• Git (GitHub/GitLab), CI/CD pipelines, and code management best practices.

• Cloud & Data Engineering

• Expert-level experience with cloud platforms (Azure and/or GCP) and object storage (S3, GCS, ABS).
• Advanced knowledge of Kafka, Spark, and workflow orchestration (Airflow, Apache NiFi).
• Expert in containerization and orchestration: Docker, K8s (OpenShift).
• MLOps practices including model monitoring, versioning, and management.

• Leadership & Communication

• Proven ability to lead technical initiatives and mentor junior engineers.
• Strong stakeholder management and communication skills.
• Data visualization and reporting for executive communication.
• Experience collaborating across organizational boundaries with IT, security, and compliance teams.

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field.
• 7+ years of experience in software engineering with at least 4 years focused on AI/ML applications.
• Demonstrated experience leading technical delivery of AI solutions in production environments.
• Expert-level experience with cloud platforms (Azure or GCP), OpenShift/Kubernetes, and enterprise integration patterns.
• Banking or financial services industry experience is mandatory.
• Experience with regulatory compliance, data governance, and security in financial services preferred.
• Relevant certifications (Azure AI Engineer, GCP ML Engineer, or equivalent) strongly preferred.
• ****Why Commercial Bank?****
• Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
• An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking
• Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives.
• A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members
• Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance
• A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective.
• At Commercial Bank, we don’t just offer careers, We shape futures by pioneering
• digital transformation
• in Qatar’s banking sector, blending
• digital-first
• approach to redefine banking through
• innovative
• solutions.

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