Job Description :

We are looking for a technically strong Presales AI Solution Architect 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.