Senior AI Engineer

• AI Guardrails & Governance: Design and implement backend security guardrail capabilities to sanitize sensitive data (PII and MNPI) and prevent prompt injection risks in production LLM workflows.
• GenAI Workflows & Scalable Solutions: Build and deploy enterprise-level GenAI, ML, and deep learning solutions using Python or Java.
• Gen UI/UX & Frontend Integration: Design and implement user interfaces and frontends for AI guardrail requirements (~20-25% of the role).
• Cloud Infrastructure & Data Pipelines: Build with AWS and Azure services to construct ETL workflows and dynamic systems using orchestration platforms like Apache Airflow.
• Production Operations: Support production applications, maintain SLAs, and create continuous evaluation metrics for ML solution performance.

• 2-5 years’ hands-on software/ML engineering experience delivering production AI solutions (no PhD required).
• Strong programming skills in Python (Java experience also accepted).
• Hands-on experience building GenAI applications, LLM workflows, and data pipelines.
• Cloud experience across AWS or Azure ecosystems along with data orchestration tools (e.g., Airflow).
• Practical understanding of AI safety, prompt injection handling, and PII/MNPI compliance guardrails.

If you have 2-5 years’ experience in ML/AI engineering, strong skills in Python, cloud environments, and AI guardrail security, alongside immediate availability - please apply for this opportunity or please share: your latest CV to .

My client, a leading global financial institution, is seeking a Senior AI Engineer to join the AI Center of Excellence within their Emerging Technology Group. Working on core enterprise initiatives, you will design, develop, and deploy production-grade Generative AI workflows and build critical backend security guardrails across the organisation.