Senior Platform Engineer
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Overview
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 industry verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and. We’ve 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.
* We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
* 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!
Job Details
Experience Level: 7+ years
Employment Type: Full-Time or Contract with IMMEDIATE joining
Work Location: London, UK or Remote Canada/US (Willing to Travel to UK)
Role Summary
We are seeking a Platform Architect with deep expertise in GPU-based infrastructure to design, optimize, and scale next-generation platforms for Generative AI (GenAI) workloads. In this role, you will lead the architecture and performance optimization of large-scale AI systems, leveraging technologies such as Slurm, Red Hat OpenShift, and the NVIDIA GPU ecosystem. You will play a pivotal role in shaping the foundation of Quantiphi’s GenAI platform strategy while enabling customer-facing production deployments that drive real-world impact.
Key Responsibilities
* Architect scalable GenAI infrastructure to support LLM training, fine-tuning, and inference across multi-GPU systems.
* Perform GPU profiling and optimization, including benchmarking, workload parallelization, and distributed training performance tuning.
* Manage compute workloads on Slurm-based clusters and containerized environments such as Red Hat OpenShift or Kubernetes.
* Optimize the NVIDIA GPU software stack (CUDA, cuDNN, NCCL, Triton Inference Server, RAPIDS, TensorRT, etc.) for high-performance GenAI and deep learning workloads.
* Collaborate cross-functionally with data scientists, MLOps, and application engineering teams to deliver and operationalize large-scale AI models.
* Design secure, production-ready GenAI pipelines supporting fine-tuning, Retrieval-Augmented Generation (RAG), multi-modal inference, and LLMOps.
* Develop reusable infrastructure templates and automation (Terraform, Helm charts, Ansible) for consistent, GPU-ready environment provisioning.
* Lead internal enablement initiatives including proofs of concept, workshops, and capability development and translate them into client delivery success.
Basic Qualifications
* 8+ years of experience as a Platform Engineer, Infrastructure Architect, or related role designing and managing large-scale compute environments.
* Proven expertise managing Slurm job scheduling and distributed training in large-scale GPU clusters.
* Strong hands-on experience with Red Hat OpenShift and/or Kubernetes orchestration.
* Deep understanding of the NVIDIA GPU ecosystem, including CUDA, cuDNN, NCCL, Nsight Systems, Triton, and TensorRT.
* Advanced Linux systems proficiency, including performance tuning and resource optimization in high-performance computing (HPC) environments.
* Experience deploying and optimizing GenAI workloads such as LLM fine-tuning, RAG pipelines, and multi-modal inference systems.
* Proficiency with Infrastructure-as-Code (IaC) tools like Terraform and Ansible.
* Familiarity with cloud GPU environments (GCP, AWS, Azure, OCI) as well as on-premise GPU infrastructure.
Other Qualifications
* Experience with NVIDIA NIMs, DGX systems, and GPU-accelerated container workflows.
* Knowledge of LLMOps and MLOps frameworks tailored for GenAI pipelines.
* Familiarity with vector databases and retrieval systems used in RAG architectures.
* Strong collaboration and communication skills, with experience in client-facing technical solutioning and pre-sales support.
What’s in it for YOU at Quantiphi
* 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.
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