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    Home/Jobs/AI Solution Architect

    AI Solution Architect

    Penguin Solutions

    Us
    7+ years
    Today
    ₹109–147 LPA
    Full-time
    Remote

    Skills Required

    LLM
    Agentic AI
    TensorRT-LLM
    NVIDIA AI Enterprise
    Triton Inference Server
    NeMo
    DGX
    HGX
    Public Cloud
    AWS
    Azure
    GCP
    On-Premises Infrastructure
    MLOps
    CI/CD

    Description

    Penguin Solutions is seeking an AI Solution Architect to lead technical pre-sales engagements and design end-to-end AI solutions on the NVIDIA AI Enterprise platform. This role involves customer-facing technical leadership, solution design, and collaboration with sales teams.

    Company: Penguin Solutions

    Role: AI Solution Architect

    Location: Remote (United States)

    Experience:

    • 7+ years in customer-facing, pre-sales technical roles such as Solutions Architect or Pre-Sales Engineer
    • Experience designing complex, large-scale enterprise systems in AI/ML, HPC, Big Data, or enterprise software
    • Proven ability to manage multiple concurrent design and architecture projects in a fast-paced sales environment

    Key Skills:

    • NVIDIA AI Enterprise platform
    • AI/ML
    • HPC
    • Big Data
    • Enterprise software
    • Software, hardware, and networking in data center environments
    • NVIDIA AI software stack (Triton Inference Server, NeMo, TensorRT-LLM)
    • DGX, HGX hardware platforms
    • LLM inference
    • Agentic AI systems
    • Public cloud platforms (AWS, Azure, GCP)
    • On-premises infrastructure
    • MLOps
    • CI/CD
    • Container orchestration (Kubernetes)

    Role Focus:

    • Lead pre-sales technical discovery sessions with prospective clients
    • Design comprehensive end-to-end agentic AI solutions centered on NVIDIA AI Enterprise platform
    • Serve as primary technical author for service project proposals, statements of work, and architectural documentation
    • Present and defend technical and architectural proposals to technical and executive audiences
    • Manage multiple project design and architecture development activities concurrently
    • Communicate project deliverables, milestones, risks, and timelines to customers and internal teams
    • Stay current on full-stack AI software, hardware, and delivery capabilities

    Additional responsibilities:

    • Act as trusted advisor to clients and technical conscience for sales team
    • Ensure solutions are technically sound, feasible, and aligned with customer business objectives

    Nice to have:

    • Deep technical expertise with NVIDIA AI software stack and hardware platforms
    • Experience designing solutions for LLM inference and advanced AI workloads
    • Experience with both public cloud and on-premises infrastructure deployments
    • Familiarity with MLOps principles, CI/CD, and Kubernetes

    Other:

    • Flexible travel to client sites and company offices as needed
    • Base pay range $130,000 - $175,000 in the United States
    • Bonus eligible
    • Medical, dental, and vision benefits
    • 401k savings plan
    • Paid Time Off
    • Life Insurance
    • Employee Assistance Plan
    • Company values servant leadership, ownership, innovation, continuous learning, and flexibility
    • Headquartered in Silicon Valley with global operations

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

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    Large Language Models: Application through Production

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    Production-focused LLM course covering deployment, monitoring, and scaling.

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    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.

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