Presales AI Solution Architect
First seen by Alion on Sep 7, 2026.
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.
Skills
Machine Learning, Generative AI, Solution Architect, Presales, Cloud, Artificial Intelligence, LLM, RAG, DataLake