Generative AI Solutions Developer

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.

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.

• Shape multi-cloud architectures for training, fine-tuning and serving LLMs (e.g., NeMo, Bedrock, Azure OpenAI, Vertex AI).
• Define MLOps/Git Ops 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, Lang Chain, 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.

Programming

• Python (must-have)
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• Probability & statistics
• ML concepts: overfitting, loss functions, training vs inference

• Data cleaning & preprocessing
• 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).

• Experience with kdb+/q, Click House or similar time-series stores. Contributions to open-source AI frameworks or NVIDIA NGC containers. Working knowledge of SRE/Fin Ops best practice.

This position takes on a Hybrid working model based in Ontario, Canada.

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.

• Individually tailored training and skills development
• Private healthcare package and Employee Assistance Programme
• Enhanced maternity and paternity package
• Wellness Days and Volunteer Days

• Job Identification 11353
• Job Category KX
• Posting Date 02/03/2026, 09:25 AM