Associate AI Solution Architect

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

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

About the Role

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.

Key Responsibilities

• 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.

What We’re Looking For

• 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.

Good to Have

• 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.