Presales AI Solution Architect

Job Title– Presales AI Solution Architect / SME

Role: Senior Presales AI Solution Engineer

Experience: 10+ Years

Role Summary:

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.