Presales AI Solution Architect / SME

E Solutions; Dadri; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

E Solutions is seeking a technically strong Presales AI Solution Engineer who can independently lead technical solutioning and respond to AI, GenAI and Data/ML opportunities. The role collaborates with Sales, Engineering, Delivery and Product teams to translate customer requirements into scalable, secure AI architectures and implementation roadmaps.

Key focus areas include end-to-end RFP/RFI responses, architecture design across AWS/Azure/GCP, and ensuring governance, security and cost-aware

Qualifications

• Experience leading technical responses to enterprise AI RFPs/RFIs.
• Ability to design scalable, secure AI architectures and documentation.
• Proven capability in creating technically sound solution proposals.

Responsibilities

• Own end-to-end technical response for AI/GenAI RFPs/RFIs and customer proposals.
• Analyze RFP requirements and prepare technical solution architecture, compliance matrix, assumptions and dependencies.
• Design enterprise AI solutions covering LLMs, RAG, AI Agents and data platforms.
• Define solution architecture across AWS, Azure and GCP AI services.
• Recommend appropriate models, vector databases and orchestration frameworks.
• Design secure enterprise architectures: IAM, encryption, multi-tenancy and governance.
• Prepare architecture diagrams, BOM, sizing and implementation roadmap.
• Define AI PoCs/MVPs and support customer workshops and solution defense sessions.

Skills

GenAI & LLMs

Agentic AI

RAG & embeddings

AI/ML lifecycle

Data engineering

Vector databases

Cloud platforms

APIs & microservices

Security & governance

Observability

Customer communication

Tools

Docker

Kubernetes

LangChain

OpenAI

Azure OpenAI

AWS Bedrock

Job description

We are looking for a technically strong Presales AI Solution Engineer who can independently lead technical solutioning and RFP/RFI responses for AI, Generative AI, Agentic AI and Data/ML opportunities.

The candidate will work closely with Sales, Engineering, Delivery and Product teams to understand customer requirements and convert them into scalable, secure and commercially viable AI solution architectures.

Key Responsibilities:-

• Own end-to-end technical response for AI/GenAI RFPs, RFIs and customer proposals.
• Analyze RFP requirements and prepare technical solution architecture, compliance matrix, assumptions, dependencies and technical response documentation.
• Design enterprise AI solutions covering LLMs, RAG, AI Agents, Agentic workflows, MCP, ML/MLOps and data platforms.
• Define solution architecture across AWS, Azure and GCP AI services.
• Recommend appropriate LLMs, embedding models, vector databases, orchestration frameworks and AI infrastructure.
• Design secure enterprise architectures covering RBAC, IAM, encryption, API security, multi-tenancy, data privacy and governance.
• Prepare architecture diagrams, technology stack, sizing, effort estimation, resource plan, BOM and implementation roadmap.
• Define AI PoCs/MVPs and support customer workshops, technical presentations and solution defense sessions.
• Work with delivery teams to validate solution feasibility, estimation and implementation approach.
• Identify reusable AI accelerators, frameworks and reference architectures to improve RFP response speed and win probability.

Required Technical Expertise

• Strong hands-on/architectural knowledge of:
• Generative AI & LLMs: OpenAI, Claude, Gemini, Llama and open-source models
• Agentic AI: AI Agents, multi-agent systems, tool calling, MCP, CrewAI, LangGraph/LangChain or equivalent frameworks
• RAG: embeddings, vector search, chunking, reranking, hybrid search and enterprise knowledge integration
• AI/ML: ML lifecycle, model training, inference, evaluation and MLOps
• Data: data engineering, data lakes/lakehouses, structured/unstructured data and ETL/ELT
• Vector Databases: Pinecone, Weaviate, Milvus, pgvector, Elasticsearch/OpenSearch or equivalent
• Cloud: AWS Bedrock/SageMaker, Azure OpenAI/AI Foundry and GCP Vertex AI
• Architecture: APIs, microservices, event-driven architecture, Docker and Kubernetes
• Security: IAM, RBAC, OAuth/OIDC, secrets management, encryption, audit logging and AI governance
• Observability: monitoring, tracing, prompt/model monitoring and LLMOps
• Exposure to Computer Vision, Synthetic Data, Robotics or Physical AI will be an advantage.

Presales Skills

• Strong experience responding to enterprise RFPs/RFIs.
• Ability to convert business requirements into detailed technical architectures.
• Strong technical proposal and solution-document writing skills.
• Experience preparing solution diagrams, effort estimates, implementation plans and technical presentations.
• Strong customer-facing communication and solution-defense capabilities.
• Ability to work under aggressive RFP timelines and independently drive technical closure.

Preferred Profile

• Previous experience as AI Solution Architect, GenAI Architect, Presales Architect or AI Technical SME.
• Experience supporting large enterprise or global customer pursuits.
• Good understanding of AI commercial models, cloud costing and solution estimation.
• Relevant AWS/Azure/GCP or AI/ML certifications would be preferred.
• Primary Objective: Build technically differentiated, secure and implementable AI solutions that strengthen our RFP responses and improve overall deal conversion.