Associate AI Solution Architect

Team: AI - Solutions Team (Pre-sales) | Startup & SMB Segment

Location: Bangalore   |   Experience: 0-1 Year   |   Joining: Immediate to 30 Days

Rapyder is building its AI Practice, and we are looking for an Associate AI Solution Architect to help startups and SMBs adopt AI quickly and cost-effectively. This is a hands-on, customer-facing role at the intersection of cloud, GenAI/AgenticAI and pre-sales - ideal for an early-career engineer who loves building and wants to learn how real AI solutions are designed and sold.

You will work with our Startup/SMB sales team and AI Solution Architects to understand customer needs, design right-sized AI solutions, build quick prototypes and demos, and support proposals. Startups and SMBs move fast, so you will be building SoWs/PoCs in days, not months, and learning directly from experienced architects.

If you are curious about GenAI/AgenticAI/ML, enjoy building working demos, and want to grow into a customer-facing AI architect - this role is for you.

•         Solution Design Support: Assist in designing AI/ML and GenAI solutions on AWS (and Azure) for startup and SMB use cases such as chatbots, document intelligence, RAG-based assistants, workflow automation and simple AI agents - with a focus on speed and cost.

•         Customer Discovery: Join discovery calls and workshops with founders, CTOs and business teams; capture requirements, and help translate them into simple solution outlines.

•         Demos & Proof of Concept (PoC): Build quick PoCs and demos using AWS Bedrock, SageMaker, Azure AI Foundry or equivalent platforms, and present results to customers under senior guidance.

•         Proposals & Documentation: Prepare architecture diagrams, solution documents, effort and cost estimates, and the technical sections of proposals; assist in programs such as AWS funding and credits for startups.

•         Cost Awareness: Help customers choose cost-efficient services and models, estimate cloud/AI running costs and suggest ways to start small and scale.

•         Sales & Delivery Collaboration: Work closely with Sales, Tech Sales and Delivery teams; support handover to delivery and follow up on early PoC feedback.

•         Learning & Enablement: Complete AI and cloud certifications, track new platform releases and contribute reusable demos, templates and knowledge-base content.

•         0-1 year of experience (freshers and beginners with strong projects are welcome) in cloud, software development, AI/ML or a related technical area.

•         Bachelor’s degree in Computer Science, Engineering, IT or a related field.

•         Good programming skills in Python and familiarity with REST APIs and Git.

•         Foundational understanding of cloud concepts and basic hands-on exposure to AWS (S3, Lambda, EC2, IAM, etc.) or Azure.

•         Basic knowledge of Machine Learning and Generative AI: LLMs, prompt engineering and Retrieval-Augmented Generation (RAG); hands-on projects using LangChain, LlamaIndex or similar frameworks are a plus.

•         Clear written and verbal communication - able to explain technical ideas simply to non-technical founders and business users.

•         Strong problem-solving ability, ownership and eagerness to learn in a fast-paced environment.

•         AWS Certified Cloud Practitioner / AI Practitioner / Solutions Architect Associate, or Azure AI Fundamentals / AI Engineer certifications.

•         Personal projects, hackathons, GitHub work or internships involving GenAI apps, chatbots or agents.

•         Exposure to vector databases, Streamlit/Gradio or similar tools for quick demos.

•         Basic understanding of data pipelines, SQL and cloud security fundamentals.

•         Interest in the startup ecosystem and in customer-facing or pre-sales roles.

•         Internship or project experience in a cloud consulting or system integrator environment.