Generative AI Scientist (Lead II - ML Engineering)

UST is seeking a Generative AI Scientist to design and deliver AI-enabled solutions integrated into complex enterprise environments. The role focuses on building production-grade AI systems, collaborating with engineering teams and business stakeholders to create robust solutions for high-value use cases.

Responsibilities:

• Design and develop multi‑agent orchestration workflows (supervisor / sub‑agent patterns)
• Implement multi‑step, asynchronous pipelines to solve complex enterprise problems
• Integrate AI workflows into client systems via secure, well‑designed APIs
• Deliver end‑to‑end LLM‑powered features in production environments
• Design effective prompting strategies and context management
• Implement structured outputs, validation, and safety guardrails, aligned to responsible AI principles
• Build and optimise retrieval‑augmented generation (RAG) pipelines
• Work with: Vector search and similarity retrieval, Search and indexing systems, Embeddings and content storage, Caching strategies for performance and scalability
• Develop Python‑based backend services (APIs, integrations, orchestration layers)
• Apply strong engineering discipline across testing, observability, and error handling
• Contribute to reusable assets and patterns within UST’s AI ecosystem
• Deploy and operate scalable solutions on AWS
• Ensure best practices across: Security and IAM, Reliability and performance, CI/CD and environment management