Senior AI Engineer – Supply Chain & Trade Intelligence Platforms

We are seeking an experienced and highly motivated Senior AI Engineer with 10+ years of professional experience in enterprise AI/ML engineering, intelligent automation, and large-scale platform environments. The role focuses on designing, developing and deploying scalable AI-first solutions supporting supply chain finance, trade ecosystems, logistics intelligence and operational decisioning within the Banking & Financial Services industry.

The ideal candidate will possess strong expertise in AI/ML engineering, distributed systems, cloud-native platforms, and real-time transaction processing, combined with practical experience in Supply Chain Finance (SCF), Trade Finance, logistics workflows and enterprise transaction ecosystems.

The role is primarily focused on AI/ML platform engineering and intelligent enterprise automation within mission-critical financial and operational environments.

Key Responsibilities

• Design, build and optimize scalable AI and machine learning solutions for enterprise-grade applications.

• Develop intelligent algorithms and data pipelines for extraction, transformation, and loading of large volumes of structured and unstructured real-time data.

• Deploy AI/ML solutions from experimental and theoretical data science models into production-ready enterprise platforms.

• Build predictive analytics, anomaly detection, forecasting and intelligent automation capabilities supporting trade processing, supply chain finance, logistics intelligence, procurement ecosystems and operational optimization.

• Run experiments, benchmark model performance, conduct validation testing and continuously improve deployed models and AI workflows.

• Identify, troubleshoot and resolve model drift, performance bottlenecks, scalability challenges and deployment issues.

• Build and maintain scalable ML pipelines, model governance frameworks, and AI lifecycle management processes.

• Collaborate closely with business stakeholders, enterprise architects, product teams, data scientists and engineering groups.

• Work with cloud-native and enterprise software platforms where AI/ML models are deployed.

• Contribute to architecture discussions, technical strategy and enterprise AI engineering best practices.

• Mentor junior engineers and support cross-functional innovation initiatives.

Platform & Engineering Responsibilities

• Support the operational excellence and reliability of enterprise AI and transaction platforms with strict uptime, scalability and data integrity requirements.

• Oversee high-throughput distributed systems built on Java, Spring Boot, Kafka, MQ and microservices architectures.

• Ensure performance and integrity of enterprise data platforms including Oracle DB, MongoDB, Redis and Graph databases.

• Manage cloud-native deployment environments across AWS, Azure and GCP with Kubernetes (K8s)-based orchestration.

• Oversee secure deployment practices, CI/CD pipelines, platform optimization and infrastructure scalability initiatives.

• Support platform modernization initiatives balancing legacy application maintenance with modern microservices transformation.

• Drive security-first engineering practices including vulnerability remediation and secure coding standards using tools such as Fortify and SonarQube.

Required Skills & Experience

• 10+ years of experience in enterprise software engineering, AI/ML engineering, platform engineering, or large-scale distributed systems environments.

• Strong experience within FinTech, Banking, Supply Chain Finance (SCF), Trade Finance, logistics platforms, or enterprise transaction ecosystems.

• Deep understanding of trade digitization workflows, financial messaging (MT/MX), accounting entries, and transaction processing systems.

• Experience with MLOps, model lifecycle management, AI deployment pipelines and model monitoring frameworks.

• Exposure to Generative AI, LLM integrations, intelligent automation platforms, or AI-driven enterprise workflows is desirable.

Preferred Domain Experience

Candidates with prior experience in one or more of the following domains will be highly preferred:

• Supply Chain Finance (SCF)

• Global Trade & Trade Finance

• Logistics Intelligence & Trade Operations

• Procurement & Transaction Ecosystems

• Enterprise Financial Messaging Platforms

• Distribution & Supply Network Visibility

• Enterprise Transaction Processing Platforms

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related disciplines.

• Experience working in large enterprise or multinational environments.

• Exposure to AI-driven decisioning platforms and intelligent enterprise automation frameworks is an advantage.

Key Attributes

• Strong analytical and problem-solving mindset.

• Excellent communication and stakeholder management capabilities.

• Ability to operate effectively in fast-paced enterprise environments.

• Passion for innovation, optimization and business-focused AI solutions.

• Strong ownership mindset with focus on scalability, reliability, and engineering excellence.