Generative AI Engineer

Job Description

• Agent Design & Delivery: Architect and implement production-ready AI agents that integrate with enterprise platforms (SAP, Salesforce, ServiceNow, CI/CD, Databricks), with human-in-the-loop controls, observability, and auditability.

• Hybrid Skillset: Strong grounding in traditional machine learning and data workflows (forecasting, scoring models, risk detection, NLP etc) alongside Gen AI/LLM-based architectures. Able to select the right approach (ML vs LLM vs hybrid) for each problem. Expertise across RAG also, and experience with RPA/automation for understanding/awareness.

• Security & Risk by Design:
• Deep understanding of Gen AI risks, including prompt injection, data leakage, model misuse, and adversarial attacks.
• Build transparent, auditable solutions with traceability of agent decisions and data lineage.
• Apply threat modelling and compliance thinking from the start, not as an afterthought.

• Enterprise Engineering: Hands on experience in building data pipelines, secure API integrations, and scaling MVPs into stable, reusable services.

• Translational Ability: Can communicate effectively across technical and business domains, ensuring solutions align to ROI and strategy.