Principal Machine Learning Engineer

Company: SS&C Technologies

Website: Visit Website

Business Type: Enterprise

Company Type: Product

Business Model: B2B

Funding Stage: IPO/Public

Industry: Fintech

Job Description

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
  
  

• 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
  
  

• 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