## Tech Architect
- PEApply: USA
- Remote: Canada
- Remote: Full time: Posted Today: End Date: November 19, 2026 (30+ days left to apply): JR12232While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you
- you would enjoy your career with Quantiphi About Quantiphi:Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building cutting-edge AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
* 21 Google Cloud Partner of the Year awards in the past 10 years
* 3 AWS AI/ML Partner of the Year awards
* 3 NVIDIA Partner of the Year awards
* 3 Snowflake Partner of the Year awards
* Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc.,



powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: Website or LinkedIn Page Role: Architect
- Platform EngineeringExperience Level: 10+ yearsEmployment type: Full Time

Location:
Remote (Canada/US) Role Overview:* We are looking for a highly skilled Architect
- Platform Engineer to design, optimize, and scale infrastructure for GenAI and LLM workloads. This role is ideal for someone with deep hands-on experience in GPU profiling, distributed training, and high-performance compute environments.
* You’ll play a key role in building out GenAI platform foundations, supporting production-grade deployments, and partnering closely with data science, MLOps, and application teams to bring cutting-edge AI solutions to life.
*

Key Responsibilities
* Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments.
* Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads.
* Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments.
* Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.).
* Collaborate with cross-functional teams to deploy models in research and production environments.




* Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps).
* Develop reusable infrastructure templates using tools like Terraform and Helm.
* Contribute to internal innovation (PoCs, workshops) and support client-facing delivery engagements. Basic Qualification (BQ):* Strong experience with Slurm and distributed training environments.
* Hands-on expertise with Red Hat OpenShift and/or Kubernetes.
* Deep knowledge of the NVIDIA GPU ecosystem (CUDA, cuDNN, NCCL, Nsight, Triton/TensorRT).
* Strong foundation in Linux systems, performance tuning, and multi-GPU optimization.
* Experience deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems)
* Familiarity with Infrastructure-as-Code tools (Terraform, Ansible).
* Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters. Other Qualifications (OQs):* Experience with NVIDIA NIMs, DGX systems, or GPU-accelerated containers.
* Knowledge of LLMOps frameworks and MLOps integration.
* Familiarity with vector databases and retrieval systems for RAG architectures.
* Comfortable working in client-facing environments and collaborating with AI solution teams.
* Healthcare Domain Experience (Nice to Have):
* Experience working with FHIR R4, HL7 v2, or SMART on FHIR.
* Integration with EHR systems (e.g., Epic).
* Understanding of HIPAA compliance and healthcare data privacy.
* Exposure to clinical workflows, CDS Hooks, or patient-facing applications.
* Experience building clinical decision support systems or healthcare interoperability solutions. What’s in it for YOU at Quantiphi:* Make an impact at one of the world’s fastest-growing AI-first digital engineering comp

📌 Tech Architect (Canada)
🏢 Quantiphi
📍 Canada