Solution Architect responsible for designing and implementing enterprise-grade Generative AI solutions, with strong capabilities in prompt engineering, AI guardrails, and domain alignment, particularly within the banking sector.
Key Responsibilities
- Design and implement scalable Generative AI solutions leveraging Large Language Models (LLMs) for enterprise use case
- Build and optimise prompt engineering strategies for accuracy, reliability, and contextual output
- Implement AI guardrails to ensure responsible AI usage, including safety, compliance, bias mitigation, and output validation
- Collaborate with business stakeholders to translate banking domain requirements into GenAI-driven solution
- Integrate GenAI capabilities (RAG, embeddings, APIs) into enterprise systems and workflow
- Support development of GenAI use cases such as conversational AI, document processing, regulatory reporting, and automation
- Ensure adherence to security, privacy, and regulatory frameworks, especially for financial services application
Core Technical Competencies
- Hands-on experience with LLMs and Generative AI frameworks (Azure OpenAI, Lang Chain, e
- tc.) Understanding of RAG architectures, vector databases, embeddings, and AI pipeline
- Knowledge of AI governance, risk management, and compliance frameworks
- Familiarity with AWS platform on implementing AI ML or Generative AI solutions
- Exposure to LLMOps / MLOps practices, including model deployment, monitoring, and lifecycle management
Good to
- Have Certification in AI/GenAI or Cloud AI platforms
- Banking Domain Knowledge (Customer due-diligence and Financial Crime)
