Enterprise AI Solution Architect - Delhi

Rapyder; Delhi; Presencial; INR 2.500.000 - 4.200.000; Jornada completa

Descripción de la vacante

Rapyder Cloud Solutions Pvt Ltd is seeking an Enterprise AI Solution Architect to translate complex customer business problems into AI-driven solutions. This role sits at the intersection of cloud infrastructure, AI/ML platforms, and enterprise pre-sales, and involves leading discovery workshops, responding to RFPs, and delivering PoCs.

The ideal candidate has 3-5 years of experience in cloud solution architecture or related consulting, with strong knowledge of LLMs, RAG, and AI frameworks.

Formación

• 3-5 years of experience in cloud solution architecture, AI/ML pre-sales, or enterprise tech consulting.
• Working knowledge of Large Language Models (LLMs), RAG, prompt engineering, and AI agent frameworks.
• Ability to architect end-to-end data and AI pipelines from ingestion to deployment.

Responsabilidades

• Design end-to-end AI/ML and GenAI solutions on AWS and Azure.
• Lead technical discovery calls and architecture reviews with enterprise accounts.
• Own technical sections of RFPs and solution proposals; create architecture diagrams and narratives.
• Build PoCs to demonstrate AI solution feasibility using cloud platforms.
• Map business goals to AI roadmaps and propose phased implementations.
• Collaborate with Delivery, Sales, and Tech Sales teams to ensure smooth handover.
• Contribute to case studies and solution accelerators.
• Track AI platform updates and bring relevant innovations to customers.

Conocimientos

Cloud solution design

AI/ML pre-sales

Enterprise consulting

LLMs

RAG

Prompt engineering

LangChain

LlamaIndex

AutoGen

Data pipelines

MLOps

CI/CD for ML

Monitoring & drift

Educación

Bachelor's degree in Computer Science/Engineering

Herramientas

AWS SageMaker

Azure AI

GCP

NVIDIA platforms

Descripción del empleo

Rapyder Cloud Solutions Pvt Ltd | Full time

We are a team of cloud enthusiasts, keen and spirited to make the latest cloud technologies work for you.

Rapyder is an agile, innovative company that makes Cloud work for you. With a young, passionate team and expertise in Cloud Computing Solutions, Big Data, Marketing & Commerce, DevOps, and Managed Services, Rapyder is the leading provider of Strategic Cloud Consulting. Solutions provided by Rapyder are seamless, secure, and scalable. With headquarters in Bangalore, sales & Support offices located in Delhi, and Mumbai, we ensure optimal technology solutions to reduce costs, streamline business processes and gain business advantages for our customers.

Budget

0

Job Description

Team: AI -Solutions Team (Pre-sales)

Location: Delhi | Experience: 3-5 Years | Joining: Immediate to 45 Days

About the Role

Rapyder is building its AI Practice, and weare looking for an Enterprise AI Solution Architect who can translatecomplex customer business problems into compelling, outcome-driven AIsolutions. This is a high-visibility, customer-facing role at the intersectionof cloud infrastructure, AI/ML platforms, and enterprise pre-sales.

You will work alongside our BusinessDevelopment and Tech Sales teams to architect solutions, lead technicaldiscovery workshops, respond to RFPs, and build proof-of-concepts thatdemonstrate Rapyder's AI capabilities to mid-market and enterprise customers.

If you are passionate about AI-ledtransformation, enjoy whiteboarding with CXOs, and can bridge the gap betweenbusiness outcomes and technical architecture - this role is for you.

Key Responsibilities

• Solution Design &Architecture: Design end-to-end AI/ML and GenAIsolutions on AWS and Azure, covering data pipelines, modeltraining/fine-tuning, inference infrastructure, integration layers andGenAI/AgenticAI workflows.
• Pre-Sales Engagement: Lead technical discovery calls, solution workshops, andarchitecture review sessions with CTO/CIO/AI leads at enterprise accounts.
• Proposal & RFP Response: Own the technical sections of RFPs and solution proposals; createarchitecture diagrams, effort estimates, and solution narratives.
• Proof of Concept (PoC): Build and demonstrate PoCs that validate AI solution feasibility,using AWS SageMaker, Bedrock, Azure Foundry, Copilot or equivalent platforms.
• Customer Advisory: Act as a trusted AI advisor to customers - map their business goalsto AI roadmaps, identify quick wins, and propose phased implementation plans.
• Cross-functionalCollaboration: Work closely with the Delivery, Sales,and Tech Sales teams to ensure smooth transition from pre-sales to delivery;participate in handover reviews.
• Thought Leadership: Contribute to case studies, solution accelerators, internalknowledge bases, and represent Rapyder at customer events and webinars.
• Market Intelligence: Track AI platform updates (AWS, Azure, GCP, NVIDIA, open-sourceLLMs) and bring relevant innovations proactively to customer conversations.

What We're Looking For

• 3-5 years of experience in cloud solution architecture, AI/ML pre-sales, orenterprise technology consulting.
• Working knowledge of LargeLanguage Models (LLMs), Retrieval-Augmented Generation (RAG), promptengineering, and AI agent frameworks (LangChain, LlamaIndex, AutoGen, etc.).
• Ability to architect end-to-enddata and AI pipelines - from ingestion and processing to model serving andmonitoring.
• Strong communication skills -can present confidently to both technical architects and business executives.
• Experience in responding toRFPs and creating solution architecture documents.
• Familiarity with MLOpspractices: model versioning, CI/CD for ML, monitoring and drift detection.
• Bachelor's degree in ComputerScience, Engineering, or a related field; advanced degree is a plus.

Good to Have

• AWS Certified SolutionsArchitect (Associate or Professional), AWS Certified Machine LearningSpecialty, or equivalent Azure certifications.
• Exposure to EdgeAI,VisionAI, or Physical AI use cases in Manufacturing, Retail, or Logistics.
• Experience with NVIDIAplatforms (NIM, NeMo, Jetson) or similar silicon-layer AI deployment tools.
• Knowledge of Sovereign Cloud requirements and data residency regulations
• Familiarity with open-sourceLLMs (Mistral, LLaMA, Falcon) and their fine-tuning / deployment pipelines.
• Understanding of enterprisedata governance, security architecture, and compliance frameworks.
• Prior experience working in acloud consulting or system integrator environment.