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.

Bachelors 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.