{"id":1266238,"url":"https://alion.io/job/e-solutions-presales-ai-solution-architect","title":"Presales AI Solution Architect","company":{"id":3800386,"name":"E-Solutions","domain":"esolglobal.com","url":"https://alion.io/company/e-solutions-4","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":49000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":33},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Claude","optional":false},{"name":"Computer Vision","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Hybrid Search","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Milvus","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"Physical AI","optional":false},{"name":"Pinecone","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-09-07T07:12:30Z","employer_posted_date":null,"last_verified_at":"2026-09-07T07:12:30Z","board_verified":false,"closed_at":null,"days_open":35,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":35},"description":"Job Description :\n\nWe 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.\n\nThe 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.\n\nKey Responsibilities :\n\n- Own end-to-end technical response for AI/GenAI RFPs, RFIs and customer proposals.\n\n- Analyze RFP requirements and prepare technical solution architecture, compliance matrix, assumptions, dependencies and technical response documentation.\n\n- Design enterprise AI solutions covering LLMs, RAG, AI Agents, Agentic workflows, MCP, ML/MLOps and data platforms.\n\n- Define solution architecture across AWS, Azure and GCP AI services.\n\n- Recommend appropriate LLMs, embedding models, vector databases, orchestration frameworks and AI infrastructure.\n\n- Design secure enterprise architectures covering RBAC, IAM, encryption, API security, multi-tenancy, data privacy and governance.\n\n- Prepare architecture diagrams, technology stack, sizing, effort estimation, resource plan, BOM and implementation roadmap.\n\n- Define AI PoCs/MVPs and support customer workshops, technical presentations and solution defense sessions.\n\n- Work with delivery teams to validate solution feasibility, estimation and implementation approach.\n\n- Identify reusable AI accelerators, frameworks and reference architectures to improve RFP response speed and win probability.\n\nRequired Technical Expertise :\n\nStrong hands-on/architectural knowledge of :\n\n- Generative AI & LLMs: OpenAI, Claude, Gemini, Llama and open-source models\n\n- Agentic AI: AI Agents, multi-agent systems, tool calling, MCP, CrewAI, LangGraph/LangChain or equivalent frameworks\n\n- RAG: embeddings, vector search, chunking, reranking, hybrid search and enterprise knowledge integration\n\n- AI/ML: ML lifecycle, model training, inference, evaluation and MLOps\n\n- Data: data engineering, data lakes/lakehouses, structured/unstructured data and ETL/ELT\n\n- Vector Databases: Pinecone, Weaviate, Milvus, pgvector, Elasticsearch/OpenSearch or equivalent\n\n- Cloud: AWS Bedrock/SageMaker, Azure OpenAI/AI Foundry and GCP Vertex AI\n\n- Architecture: APIs, microservices, event-driven architecture, Docker and Kubernetes\n\n- Security: IAM, RBAC, OAuth/OIDC, secrets management, encryption, audit logging and AI governance\n\n- Observability: monitoring, tracing, prompt/model monitoring and LLMOps\n\n- Exposure to Computer Vision, Synthetic Data, Robotics or Physical AI will be an advantage.\n\nPresales Skills :\n\n- Strong experience responding to enterprise RFPs/RFIs.\n\n- Ability to convert business requirements into detailed technical architectures.\n\n- Strong technical proposal and solution-document writing skills.\n\n- Experience preparing solution diagrams, effort estimates, implementation plans and technical presentations.\n\n- Strong customer-facing communication and solution-defense capabilities.\n\n- Ability to work under aggressive RFP timelines and independently drive technical closure.\n\nPreferred Profile :\n\n- Previous experience as AI Solution Architect, GenAI Architect, Presales Architect or AI Technical SME.\n\n- Experience supporting large enterprise or global customer pursuits.\n\n- Good understanding of AI commercial models, cloud costing and solution estimation.\n\n- Relevant AWS/Azure/GCP or AI/ML certifications would be preferred.\n\nPrimary Objective :\n\nBuild technically differentiated, secure and implementable AI solutions that strengthen our RFP responses and improve overall deal conversion.\nSkills\nMachine Learning, Generative AI, Solution Architect, Presales, Cloud, Artificial Intelligence, LLM, RAG, 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