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Role Overview As an AI Solution Engineer (Infrastructure), you will be the critical link between our commercial ambitions and technical execution. This unique hybrid role involves designing comprehensive, on-premise AI hardware and software architectures for clients, and then taking a hands-on approach to bring those designs to life through physical system integration and deployment. Key Responsibilities Client Engagement & Solution Design Discovery & Requirement Gathering: Join technical meetings with the Sales team to engage customers, deeply understand business issues, and clarify technical requirements. Solution Architecture & Matching: Strategically match user requirements with MaiStorage’s solutions. Draw out comprehensive architecture diagrams, determining the exact hardware specs, appropriate LLM models, and the full technical stack required. Proposal Generation: Translate complex technical knowledge into layman’s explanations for non-technical stakeholders, preparing and presenting technically sound and compelling proposals. Scoping & Cross-Functional Bridging Scoping & Estimation: Generate precise Technical SOWs, estimating the deployment timelines and man-days required for the engineering team to deliver the project. Cross-Functional Bridging: Act as the primary translator and bridge between the commercial Sales team and the technical AI Engineering team, ensuring aligned expectations and clear communication. On-Premise Deployment Infrastructure Architecture: Architect and consult with clients on configuring Linux-based environments, especially on on-premise local AI hardware infrastructure and specialized AI software stacks. Minimum Qualifications Education: Bachelor’s degree in Electrical & Electronics Engineering, Computer Science, Computer Engineering, Data Science, or a related technical field. Experience: 1–3+ years bridging client-facing roles (pre-sales, technical account management) with hands-on infrastructure support or system administration. Fresh graduates with strong presentation skills and extensive infrastructure knowledge will be considered. Hardware & Architecture Proficiency: Deep understanding of bare-metal PC/Server architecture, including CPU architectures, GPU power requirements, PCIe lane distribution, and DRAM/Storage scaling to both spec and assemble systems. Generative AI & Software Lifecycle: Solid understanding of Generative AI trends, LLM deployment concepts/limitations, and the Software Development Life Cycle (SDLC) to accurately estimate project timelines. OS & Scripting: Strong command of the Linux CLI (Ubuntu/CentOS) for filesystem management, networking configuration, and shell scripting for task automation. Containerization: Practical experience managing Docker environments and understanding container lifecycles. Communication Skills: Exceptional verbal and written communication skills; ability to articulate complex technical issues into clear status reports and proposals for both internal engineering teams and external clients. Precision & Detail: High level of precision in physical assembly (cable management, thermal application, firmware/BIOS updates) and documentation. Orchestration: Basic understanding of Kubernetes or other container orchestration platforms.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.