Platform AI Solution Engineer

RackBank Datacenters Private Ltd.; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

RackBank Datacenters Private Ltd. seeks a Platform AI Solution Engineer who sits at the intersection of product, engineering, sales, and the customer. You will develop deep expertise in NeevCloud's AI platform and translate customer requirements into winning architectures, GTM motions, and compelling demos.

This is a customer-facing, hands-on role requiring cloud infrastructure know-how, GPU economics, and the ability to clearly communicate complex AI concepts to CXOs and engineers.

Qualifications

• 5-8 years of experience in solution engineering, pre-sales, solution architecture, or platform engineering roles.
• Experience designing and deploying cloud infrastructure and services.
• Hands-on exposure to AI/ML solutions: model deployment, inference serving, fine-tuning workflows, or AI application architectures.
• Experience with any major platform solutions (cloud platforms, PaaS, Kubernetes-based platforms, or AI/ML platforms).
• Working understanding of GPU infrastructure - GPU types, configurations, sizing, and ability to build GPU-based proposals for customer workloads.
• Familiarity with the modern AI stack: LLMs and foundation models, agentic AI frameworks, RAG architectures, and inference optimization concepts.
• Proven ability to prepare high-quality technical proposals, solution documents, and customer presentations.
• Excellent communication skills able to explain complex technical concepts to both CXO and engineering audiences.

Responsibilities

• Own end-to-end solutioning for enterprise opportunities and opportunities with clear technical evaluations.
• Develop technical proposals, solution documents, and customer presentations for active deals.
• Demonstrate NeevCloud platform through compelling demos and technical discovery.
• Act as a trusted technical advisor bridging field feedback to product and GTM teams.

Skills

Pre-sales / solution engineering

Cloud solutions

AI/ML deployments

Kubernetes

GPU infrastructure

Technical communication

Proposal writing

Tools

KServe

vLLM

Triton

Kubernetes-based platforms

NVIDIA GPU ecosystem tools

Job description

We are looking for a Platform AI Solution Engineer who can sit at the intersection of product, engineering, sales, and the customer. You will develop deep expertise in NeevCloud's AI platform and solutions, understand customer requirements deeply, and translate them into winning technical architectures, product inputs, and go-to-market (GTM) motions. You will own the solution artifacts proposals, solution documents, sizing, and demos that take a deal from first conversation to production deployment, while ensuring what the field learns flows back into product priorities and GTM strategy.

This is a customer-facing, technically hands-on role for someone who understands cloud infrastructure, GPU economics, and the modern AI stack (models, inference, agentic AI, etc,.) and can communicate all of it with clarity and credibility.

Required Qualifications & Experience

• 5-8 years of experience in solution engineering, pre-sales, solution architecture, or platform engineering roles.
• Strong background in cloud solutions (public, private, or sovereign cloud platforms) - designing, proposing, or deploying cloud infrastructure and services.
• Hands-on exposure to AI/ML solutions: model deployment, inference serving, fine-tuning workflows, or AI application architectures.
• Experience with any major platform solutions (cloud platforms, PaaS, Kubernetes-based platforms, or AI/ML platforms).
• Working understanding of GPU infrastructure - GPU types, configurations, sizing, and the ability to build GPU-based proposals for customer workloads.
• Familiarity with the modern AI stack: LLMs and foundation models, agentic AI frameworks, RAG architectures, and inference optimization concepts.
• Proven ability to prepare high-quality technical proposals, solution documents, and customer presentations.
• Excellent communication skills able to explain complex technical concepts to both CXO and engineering audiences.

Preferred Qualifications

• Experience with Kubernetes, containerized workloads, and model-serving frameworks (e.g., KServe, vLLM, Triton).
• Exposure to NVIDIA GPU ecosystems (hardware, networking, and reference architectures) or alternative AI accelerators.
• Prior experience selling or architecting solutions for BFSI, government, or regulated industries.
• Understanding of data sovereignty, confidential computing, or compliance-driven cloud architectures.
• Certifications in cloud (AWS/Azure/GCP), Kubernetes (CKA/CKAD), or NVIDIA (e.g., NCP) are a plus.

What Success Looks Like

• Immediate learning and implementation: fluent in NeevCloud's platform and able to independently run technical discovery and demos.
• Owning end-to-end solutioning for active enterprise opportunities, with proposals that consistently clear technical evaluation and improve the sales conversion ratio.
• Ongoing: a trusted technical advisor to customers and a reliable bridge between the field and product/engineering.
• Driving customer success and platform adoption - contributing across GTM, product, and B2B engagements with measurable overall business impact.

Required Skills

GTM Cloud Solutions Presales cloud sales Kubernetes