Enterprise Sr. AI Solution Architect

rapyder cloud solutions; Bengaluru; On-site; INR 350,000 - 700,000; Full time

Job summary

Rapyder Cloud Solutions Pvt Ltd in Bengaluru is scaling its AI Practice and seeks an Enterprise Sr. AISolution Architect to translate complex customer problems into outcome-driven AI solutions.

You will lead discovery, own solution architecture and RFP responses, build PoCs, and set up delivery for success with CTO/CIO/CDO stakeholders. You will mentor architects, guide delivery teams, and drive governance, security and ROI-focused roadmaps for mid-market and enterprise customers.

Qualifications

• 5+ years of experience in cloud solution architecture or AI/ML pre-sales.
• Delivery Engineer / Technical Lead experience on cloud/AI projects.
• Strong knowledge of LLMs, RAG, vector databases and prompt engineering.
• Architect end-to-end data and AI pipelines with build-vs-buy judgement.
• Experience leading RFP responses and architecture documents.
• Knowledge of MLOps / LLMOps lifecycle and governance.
• Excellent communication and stakeholder management skills.
• Bachelor’s degree in CS/Engineering; advanced degree is a plus.

Responsibilities

• Architect end-to-end AI/ML, GenAI and agentic AI solutions.
• Lead technical discovery, workshops and architecture reviews with executives.
• Own technical response for RFPs and proposals with estimates.
• Define PoCs and pilots using AWS SageMaker, Azure AI Foundry, etc.
• Ensure delivery readiness, handover reviews and post-signoff support.
• Advise customers on AI roadmaps, ROI and phased plans.
• Embed Responsible AI, governance, data residency and security.
• Mentor junior architects and share reference architectures.

Skills

Cloud solution architecture

AI/ML pre-sales

Stakeholder management

Mentoring

RFP responses

Communication

Education

Bachelor's degree in Computer Science or related field

Advanced degree a plus

Tools

AWS

Azure

GCP

LangChain

LLM frameworks

Job description

Rapyder Cloud Solutions Pvt Ltd | Full time

Bangalore North, India | Posted on 11/04/2026

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: Bangalore|Experience: 5+ Years|Joining: Immediate to 45 Days

About the Role

Rapyder is scaling its AI Practice, and weare looking for an Enterprise Sr. AISolution Architect who can turn complex customer business problems intooutcome-driven AI solutions - and who has also seen those solutions throughdelivery. This is a high-visibility, customer-facing role at the intersectionof cloud infrastructure, AI/ML platforms, enterprise pre-sales and delivery.

You will partner with our BusinessDevelopment, Tech Sales and Delivery teams to shape and win large AIopportunities: leading technical discovery, owning solution architecture andRFP responses, building PoCs, and setting up delivery for success. You willalso mentor Solution Architects and act as a senior technical voice withCTO/CIO/CDO stakeholders at mid-market and enterprise customers.

If you are passionate about AI-ledtransformation, enjoy whiteboarding with CXOs, and have the delivery scars thatmake your architectures and estimates credible - this role is for you.

Key Responsibilities

• Solution Design & Architecture: Architect end-to-end AI/ML, GenAI and Agentic AI solutions on AWS and Azure(GCP a plus), covering data pipelines, model training/fine-tuning, RAG and agent workflows, inference infrastructure, integration layers, security, observability and cost (FinOps).
• Pre-Sales Leadership: Lead technical discovery, solution workshops and architecture review sessions with CTO/CIO/CDOand AI leads; qualify opportunities, shape win themes and own the technical strategy for strategic deals.
• Proposal, RFP & Commercials: Own the technical response for RFPs and proposals - architecture documents, delivery approach, realistic effort and team estimates, assumptions, risks and SOW scoping.
• Proof of Concept & Pilots: Define success criteria and build/lead PoCs and pilots that validate feasibility and business value, using AWS SageMaker and Bedrock, Azure AI Foundry, Copilot orequivalent platforms; guide the path from PoC to production.
• Delivery Assurance & Handover: Bring delivery experience into pre-sales - validate feasibility and estimates with delivery teams, run structured handover reviews, and stay engaged post-signoff to protect architectural integrity, resolve escalations and support customer acceptance on key engagements.
• Customer Advisory: Act as a trusted AI advisor - run AI readiness and data maturity assessments, map business goals to AI roadmaps, identify quick wins, and propose phased implementation plans with clear ROI and success metrics.
• Responsible AI & Governance: Embed security, data privacy, guardrails, evaluation and Responsible AI practices into every solution; address compliance, data residency and sovereign cloud requirements in regulated industries.
• Team Mentoring: Coach and review the work of Solution Architects and Engineers; build reusable reference architectures, solution accelerators, estimation templates and playbooks that raise the quality and speed of the practice.
• Thought Leadership: Contribute to case studies, whitepapers and knowledge bases, and represent Rapyder at customer events, webinars and partner forums (AWS, Microsoft, etc.,).
• Market Intelligence: Track AI platform and ecosystem updates (AWS, Azure, GCP, NVIDIA, open-source LLMs, agent frameworks) and proactively bring relevant innovations into customer conversations.

What We’re Looking For

• 5+ years of experience in cloud solution architecture, AI/ML pre-sales or enterprise technology consulting, with a proven track record of designing and winning enterprise-scale AI/ML engagements.
• Prior experience as a Delivery Engineer / Technical Lead on cloud, AI/ML projects - having owned technical delivery, managed scope, risks and customer expectations, and taken solutions from design to production.
• Strong working knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, evaluation, 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, monitoring and cost optimisation -with sound judgement on build-vs-buy and scalability trade-offs.
• Demonstrated experience leading RFP responses, solution proposals and architecture documents, including effort estimation and commercial inputs.
• Working knowledge of MLOps / LLMOps lifecycle: model versioning, CI/CD for ML, monitoring, drift detection and guardrails.
• Strong communication and stakeholder management skills - able to present confidently to both technical architects and business executives, and to lead customer workshops independently.
• Experience mentoring or guiding junior architects and collaborating across Sales, Delivery and Partner teams.
• Bachelor’s degree in Computer Science, Engineering or a related field; advanced degree is a plus.

Good to Have

• AWS Certified Solutions Architect (Associate or Professional), AWS Certified Machine Learning Specialty, or equivalent Azure certifications.
• Exposure to Edge AI, Vision AI 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.
• Experience with Agile delivery, project governance and Agentic AI interoperability patterns (e.g., MCP, A2A).
• Prior experience working in a cloud consulting or system integrator environment.