Enterprise AI Solution Architect - Delhi

Team: AI - Solutions Team (Pre-sales)

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

Rapyder is building its AI Practice, and we are looking for an Enterprise AI Solution Architect who can translate complex customer business problems into compelling, outcome-driven AI solutions. This is a high-visibility, customer-facing role at the intersection of cloud infrastructure, AI/ML platforms, and enterprise pre-sales.

You will work alongside our Business Development and Tech Sales teams to architect solutions, lead technical discovery workshops, respond to RFPs, and build proof-of-concepts that demonstrate Rapyders AI capabilities to mid-market and enterprise customers.

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

• Solution Design & Architecture: Design end-to-end AI/ML and GenAI solutions on AWS and Azure, covering data pipelines, model training/fine-tuning, inference infrastructure, integration layers and GenAI/AgenticAI workflows.
• Pre-Sales Engagement: Lead technical discovery calls, solution workshops, and architecture review sessions with CTO/CIO/AI leads at enterprise accounts.
• Proposal & RFP Response: Own the technical sections of RFPs and solution proposals; create architecture 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 goals to AI roadmaps, identify quick wins, and propose phased implementation plans.
• Cross-functional Collaboration: 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, internal knowledge bases, and represent Rapyder at customer events and webinars.
• Market Intelligence: Track AI platform updates (AWS, Azure, GCP, NVIDIA, open-source LLMs) and bring relevant innovations proactively to customer conversations.

• 3-5 years of experience in cloud solution architecture, AI/ML pre-sales, or enterprise technology consulting.
• Hands-on experience with AWS services (SageMaker, Bedrock, Lambda, Step Functions, S3, Glue, etc.,) or Azure AI/ML services (Azure Foundry, Azure ML, Data Factory, etc.,).
• Working knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and AI agent frameworks (LangChain, LlamaIndex, AutoGen, etc.).
• Ability to architect end-to-end data and AI pipelines - from ingestion and processing to model serving and monitoring.
• Strong communication skills - can present confidently to both technical architects and business executives.
• Experience in responding to RFPs and creating solution architecture documents.
• Familiarity with MLOps practices: model versioning, CI/CD for ML, monitoring and drift detection.
• Bachelors degree in Computer Science, Engineering, or a related field; advanced degree is a plus.

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