About KX
Our mission is to accelerate data and AI-driven innovation with high-performance analytics solutions, enabling our customers to transform into AI-first enterprises. KX is trusted by the world's top investment banks & hedge funds, aerospace and defence, life and health sciences, semiconductor, telecommunications, and advanced manufacturing companies.
Time series and vector data analytics and management are at the heart of our products, independently benchmarked as the fastest on the market. They help our customers process data at unmatched speed and scale and empower LOB leaders, developers, data scientists, and data engineers to build high-performance data-driven applications and turbocharge their favourite analytics tools in the cloud, on-premise, or at the edge.
KX technology enables the discovery of richer, actionable insights for faster, better-informed decision-making, which drives competitive advantage and transformative growth for our customers. KX operates across North America, Europe, and Asia Pacific.
Role Overview:
Own the end-to-end technical design for large-language-model (LLM) and generative-AI solutions across NVIDIA, AWS, Azure and GCP stacks. You will translate business use-cases into secure, scalable architectures, lead reference implementations, and mentor delivery teams for enterprise deployments—especially in financial-services environments.
Core Responsibilities:
- Shape multi-cloud architectures for training, fine-tuning and serving LLMs (e.g., NeMo, Bedrock, Azure OpenAI, Vertex AI).
- Define MLOps/GitOps patterns for model lifecycle, vector–DB indexing, retrieval-augmented generation (RAG) and guard-railing.
- Benchmark and cost-optimize GPU, Grace Hopper and CPU clusters (TCO & carbon impact).
- Build production pipelines in Python (FastAPI, LangChain, Ray, Triton, Airflow).
- Establish security and compliance controls (encryption, IAM, SOC 2, FINRA, GDPR).
- Support pre-sales and proofs-of-concept with capital-markets clients.
Preferred Qualifications:
- 10-15 yrs building cloud-native data or ML platforms on AWS, Azure and/or GCP.
- Deep expertise in Python plus one of Go, Java or C++.
- Hands-on with embedding models, tokenizer optimisation, prompt orchestration and OpenAI/Anthropic APIs.
- Prior delivery of enterprise Gen-AI systems (risk analytics, chatbots, document generation, etc.).
- Solid grounding in distributed systems (K8s, service mesh, Kafka, Redis, GPU scheduling).
Nice-to-Have:
- Experience with kdb+/q, ClickHouse or similar time-series stores.
- Contributions to open-source AI frameworks or NVIDIA NGC containers.
- Working knowledge of SRE/FinOps best practice.
Location & Workplace Type: This position takes on a Hybrid working model based in Ontario, Canada.
Why Choose KX?
- Data Driven: We lead with instinct and follow fact.
- Naturally Curious: We lean in, listen and learn fast.
- All In: We take ownership, take on challenges and give it our all
Benefits:
- Competitive Salary
- Individually tailored training and skills development.
- Private healthcare package and Employee Assistance Programme.
- Enhanced maternity and paternity package
- Wellness Days and Volunteer Days
