About KX
KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively.
KX is essential to the operations of the world's top investment banks, aerospace and defence, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific.
Overview Of The Role
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.
Key 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.
Skills
Programming
- Python (must-have)
- JavaScript / TypeScript (for web + full-stack AI apps)
- Writing clean, testable code
Math & ML Basics
- Linear algebra (vectors, matrices, embeddings)
- Probability & statistics
- ML concepts: overfitting, loss functions, training vs inference
Data Skills
- Data cleaning & preprocessing
- Pandas, NumPy
- SQL basics
Essential Experience
- 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).
Preferred Qualifications
- 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
