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18 Aug 2026

Senior AI Engineer (40001156)

Category:  Technology Division
Job Type: 
Facility:  Technology

Job Purpose

'We are looking for a Senior AI Engineer to design and build intelligent automation solutions for the Bank’s Operations Division and (DWH/Datalake) system operation. This role focuses on optimizing processes, reducing manual effort, and improving operational efficiency through data, cloud, build real AI-driven automation systems, not just prototypes. Become a key contributor in the organization’s digital transformation journey 

Key Accountabilities (1)

  • Design and develop data processing systems (data pipelines, ETL/ELT)
  • Build and maintain workflow automation solutions (RPA, orchestration, workflow engines)
  • Deploy and manage applications on AWS Cloud
  • Apply AI/ML/LLM to use cases such as:
  • Automated document and record processing
  • Data analysis and decision support
  • Internal chatbots and AI agents
  • Integrate systems with internal platforms and third-party services (APIs, microservices)
  • Ensure system performance, scalability, and security
  • Collaborate with business teams to translate requirements into technical solutions

Success Profile - Qualification and Experiences

  • Minimum 3–5 years of experience in software development (Backend/Data/Platform)
  • Proficiency in at least one programming language: Python / Java / Node.js
  • Strong experience with:
  • Data processing: SQL, NoSQL, Spark, Airflow, or equivalent tools
  • Designing and building data pipelines
  • Hands-on experience with AWS services:
  • (EC2, S3, Lambda, RDS, Glue, Step Functions, ECS/EKS, etc.)
  • Familiarity with:
  • AI/ML or LLM frameworks (e.g., OpenAI, Hugging Face, LangChain)
  • Automation use cases, AI agents, or workflow automation systems
  • Solid understanding of system design (microservices, event-driven architecture)
  • Strong problem-solving skills and ability to work independently

 

Nice to Have

  • Experience in Banking / Financial Services
  • Experience with:
  • Kafka, Docker, Kubernetes
  • CI/CD and DevOps practices
  • Experience building automation platforms or AI-driven products

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