Artificial Intelligence Engineer

The company is a specialist AI and data consultancy with extensive experience in implementing intelligent enterprise systems across multiple industries, particularly in financial services and banking. The Artificial Intelligence (AI) Engineer position is central to engineering, deploying, and scaling advanced AI systems aimed at driving the Bank's digital and operational transformation. This role involves building the technical foundations for enterprise-grade applications, including Conversational AI agents, operations automation, and Generative AI initiatives.

Responsibilities

• Building and scaling next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworks.
• Developing automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service.
• Implementing Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise search.
• Designing and refining prompts to optimize LLM performance and applying advanced parameter-efficient fine-tuning techniques.
• Operationalizing embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.
• Establishing engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.
• Acting as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teams.

Requirements
What we need from you:

• Bachelor’s degree in a quantitative field (Computer Science, AI, Software Engineering, or Mathematics); a Master’s degree in AI/ML is highly preferred.
• 5+ years in AI/ML engineering or large-scale digital product engineering, ideally within a major digital transformation or digital-only bank project.
• Proven experience deploying large-scale AI/ML solutions within a regulated environment (Banking or Financial Services preferred).
• Hands-on experience with MLOps tools (MLflow, CI/CD) and data visualization platforms (Tableau, Power BI).
• Expert-level programming in Python specifically for ML/AI engineering and Generative AI applications.
• Deep knowledge of transformer models, multimodal architectures, and agentic AI systems (multi-agent frameworks/human-in-the-loop).
• Expertise in vector databases (Pinecone, Weaviate, Milvus), knowledge graphs, and both SQL/NoSQL systems (Postgres, MongoDB).
• Proficiency in Azure AI Foundry or AWS SageMaker, including serverless deployments (Lambda/Azure Functions) and containerization (Docker, Kubernetes).
• Deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflows.

It would also be beneficial if you have experience of the following:

• Ability to quickly build and test AI prototypes while maintaining a focus on enterprise-grade security and compliance.
• Active engagement in the AI community with a track record of evaluating emerging tools like LangChain, CrewAI, and Bedrock.
• Exceptional communication skills to bridge the gap between technical requirements and business objectives for non-technical stakeholders.
• Deep understanding of emerging trends such as Reinforcement Learning from Human Feedback (RLHF) and multimodal AI.

Benefits

• Competitive salary.
• Visa Sponsorship for the successful individual.
• Comprehensive health insurance for the successful individual.
• Professional development and certification support.
• Opportunity to work on cutting-edge AI projects.
• Career advancement opportunities in a rapidly growing AI company.

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving the company's success in delivering transformative AI solutions to clients.