Senior Machine Learning Engineer

Overview

SS&C Technologies is a leading global financial and healthcare technology company that builds and delivers mission-critical cloud-based software, services and solutions to help institutions manage complex investment, fund administration, risk, compliance and operations at scale. With a presence in 35+ countries and tens of thousands of clients worldwide, SS&C powers front-to-back office functions across asset management, banking, insurance, retirement and wealth management, enabling automation, accurate data analytics and resilient technology solutions that drive business performance and client success.

Role Overview:

We are seeking a highly experienced Senior/Principal Engineer to lead the architecture and development of large-scale AI/LLM platforms. This role requires deep expertise in distributed systems, scalable backend engineering, and production-grade AI infrastructure. You will drive platform-level initiatives, own architectural decisions, and deliver highly reliable, high-performance systems that power enterprise AI solutions.

Required Qualifications

• 10+ years of software engineering experience
• Strong expertise in scalable backend and distributed systems architecture
• Deep experience building production AI/ML or LLM platforms
• Strong knowledge of vector search, RAG, embeddings, and semantic retrieval
• Proven experience designing large-scale, reliable systems
• Strong Python backend expertise (FastAPI, Flask, Django)
• Experience with cloud, Docker, and Kubernetes
• Strong system design, debugging, and performance optimization skills

Preferred / Nice to Have

• Experience designing enterprise AI platforms or AI infrastructure
• Experience with LLM frameworks (LangChain, Transformers, etc.)
• Eperience with vLLM, Triton, GPU inference, or model serving systems
• Experience with observability tools (Prometheus, Grafana, Langfuse, OpenTelemetry)
• Strong understanding of event-driven and microservice architectures
• Experience building large-scale embedding or search platforms
• Experience influencing technical strategy or leading platform initiatives

What We Expect

• Technical leadership and architectural ownership
• Ability to design and deliver complex, large-scale systems
• Strong problem-solving and decision-making ability
• High focus on reliability, scalability, and performance
• Mentorship and engineering leadership
• Ownership of platform-level initiatives end-to-end