Senior Platform Engineering

While 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!
Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations.
Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
17x Google Cloud Partner of the Year awards in the last 8 years.

• 3x AWS AI/ML award wins.
• 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.
• Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

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Role: Senior Platform Engineer
Work Location: US East/Canada (Remote)
We are looking for a highly skilled Senior 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.
Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads
Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps)
Strong experience with Slurm and distributed training environments
Strong foundation in Linux systems, performance tuning, and multi-GPU optimization
Experience deploying GenAI workloads (LLM fine-tuning, RAG pipelines, multi-modal systems)
Experience with cloud GPU environments (GCP, Azure, AWS, OCI) and/or on-prem GPU clusters
Familiarity with vector databases and retrieval systems for RAG architectures
Comfortable working in client-facing environments and collaborating with AI solution teams
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
Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Stay ahead of the curve immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.