Ai Platform Engineer

Description:

The AI Platform Engineer team is not simply integrating AI into existing workflows; we are redesigning those workflows altogether. The team drives step-change improvements in developer enablement, large-scale modernization, and enterprise AI governance. We operate at the intersection of AI innovation and enterprise-grade reliability, shaping the future of engineering across thousands of developers and multiple business domains. The team defines what AI-powered engineering looks at scale inside one of the world’s most sophisticated financial technology environments.

Responsibilities
 

• Design scalable AI architecture leveraging LLMs, RAG, fine-tuning, and model optimization techniques
• Establish evaluation frameworks to measure model quality, hallucination control, and precision/recall trade-offs
• Lead the design and implementation of scalable AI platform capabilities used across the software development lifecycle
• Partner with product and security teams to ensure AI solutions are safe, compliant, and production‑ready
• Drive delivery through ambiguity by breaking down complex problems into clear plans and milestones
• Lead buy vs. build decisions, evaluating third‑party solutions alongside internal capabilities
• Identify technical risks and dependencies early, with mitigation and escalation where needed
• Coordinate across multiple engineering teams and time zones to deliver shared outcomes
• Translate complex AI capabilities into clear business values and communicate progress, trade‑offs, and risks to senior stakeholders
• Lead and develop a team of engineers and senior ICs, providing coaching and technical mentorship
• Foster a culture of ownership, accountability, and continuous improvement
• Support the growth of emerging leaders by delegating responsibility and increasing scope over time
   

Requirements
 

• Strong experience building and operating production AI systems, including LLM‑based workflows
• Solid understanding of modern AI practices such as prompt engineering, retrieval‑augmented generation, fine‑tuning, and evaluation
• Proven experience designing and delivering shared platforms or services at scale
• Deep technical fluency in Java and Python with hands-on experience building scalable, production-grade AI and platform services
• Experience designing APIs and operating services in a cloud environment
• Experience working with distributed Cloud environments
• Strong communication skills and the ability to collaborate effectively across teams
• Experience working in Agile development teams.