About Quantiphi:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.
Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.
We have been recognized with:
* 17x Google Cloud Partner of the Year awards in the last 8 years
* 3x AWS AI/ML award wins
* 3x NVIDIA Partner of the Year titles
* 2x Snowflake Partner of the Year awards
* Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms
* We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators
* We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
For more details, visit: Website or LinkedIn Page.
Role: Associate Technical Architect - Platform Engineering
Experience Level: 7+ years
Employment type: Full Time
Location: Remote (UK)
Description:
We are seeking a highly skilled Platform Architect to design, optimize, and scale infrastructure for GenAI workloads. The ideal candidate will have deep hands-on experience in GPU profiling, parallelization strategies, and scheduling compute-intensive jobs using Slurm and Red Hat OpenShift. This role also includes supporting the build-out of GenAI platform foundations and contributing to customer-facing projects in production environments.
Key Responsibilities:
* Design and implement infrastructure architectures for LLM and GenAI workloads on multi-GPU systems.
* Perform GPU profiling, benchmarking, and performance optimization across distributed training workloads.
* Manage and schedule jobs on Slurm-based clusters and containerized environments like Red Hat OpenShift/Kubernetes.
* Enable and optimize NVIDIA GPU stack components (CUDA, cuDNN, NCCL, Triton Inference Server, RAPIDS, etc.) for GenAI and DL workloads.
* Collaborate with data scientists, MLOps, and application teams to deploy large-scale models in both research and production settings.
* Build secure and scalable GenAI pipelines supporting fine-tuning, RAG, multi-modal inferencing, and LLMOps.
* Create reusable infrastructure templates (e.g., Terraform, Helm charts) for deploying GPU-ready environments.
* Contribute to internal capability development (e.g., workshops, PoCs) and translate solutions to client delivery engagements.
Required Skills:
* Strong expertise in Slurm job scheduler and distributed training environments.
* Experience with Red Hat OpenShift and/or Kubernetes-based orchestration.
* Knowledge of NVIDIA GPU ecosystem – CUDA, cuDNN, NCCL, Nsight Systems, and NVIDIA Triton or TensorRT.
* Proficiency in Linux systems, performance tuning, and resource optimization in multi-GPU clusters.
* Exposure deploying GenAI workloads including LLM fine-tuning, RAG pipelines, and multi-modal systems.
* Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible).
* Exposure to cloud GPU environments (GCP, Azure, AWS, OCI) and on-premise GPU cluster setups.
Preferred Skills:
* Experience with NVIDIA NIMs, DGX systems, and/or GPU-accelerated containers.
* Knowledge of LLMOps frameworks and MLOps integration for GenAI pipelines.
* Familiarity with vector databases and retrieval systems used in RAG architectures.
* Ability to collaborate with AI solution teams and participate in client-facing technical engagements.
What is in it for you:
* Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
* Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
* Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
* Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.