{"id":3309541,"url":"https://alion.io/job/synqed-senior-solution-architect","title":"Senior Solution Architect","company":{"id":4479003,"name":"Synqed","domain":"synqed.ai","url":"https://alion.io/company/synqed","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Cohere SDK","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"GraphRAG","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Neo4j","optional":false},{"name":"Node JS","optional":false},{"name":"pgvector","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-27T02:36:15Z","employer_posted_date":null,"last_verified_at":"2026-10-27T02:36:15Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"AI agents are only as good as the context they can reach. Most CX questions are simple lookups; some need policy and knowledge content, and a few need to know who the customer really is, how their accounts connect, and which scenario they're in. The MCP Gateway gives agents one interface for all of it. You'll own what sits behind that interface.\n\nYou'll design and build Synqed's context graph and hybrid retrieval platform: the system that powers entity resolution, scenario routing, multi-hop reasoning, and permission-aware retrieval for enterprise CX agents. This is not a slide-ware architecture role. You'll write the graph queries, build the pipelines, and ship the code that agents depend on in real time.\n\nThe core responsibilities for the job include the following:\n\nBuild the context graph: \nDesign the CX-specific canonical schema: canonical customer entities, SAME_AS edges to source-system IDs, household and account hierarchies, scenario nodes, and bitemporal edges.\nBuild and run a production graph database (Neo4j, TigerGraph, Neptune, or similar) with B2B2C multi-tenant isolation.\nIntegrate an entity resolution engine (Senzing or Tilores) and own the CX-aware layer on top of it.\nModel and query the relationships that matter: households, account hierarchies, scenario-to-tool mappings, invocation logs, and permission graphs.\n\nUnify retrieval behind one interface: \nArchitect the retrieval layer that routes each query to structured APIs, vector search, or graph traversal based on its shape.\nBuild and tune hybrid search pipelines on pgvector, Qdrant, or similar, combining vectors, BM25, and reranking (Cohere, BGE).\nBuild the graph-backed skill router: traverse the scenario subgraph from a conversation's context, pick the right CX skill, and load its compiled IR.\nHit the latency targets in every mode, and keep hitting them as tenants and data grow.\n\nGet enterprise data in, and keep it fresh: \nBuild ingestion pipelines from structured, semi-structured, and unstructured sources: Salesforce, HubSpot, Zendesk, SAP, and custom APIs.\nImplement change data capture with Estuary Flow and native SaaS APIs (Salesforce Pub/Sub, HubSpot webhooks, Zendesk audit logs), using a uniform ChangeEvent envelope mapped to the canonical schema.\nDesign tenant onboarding: seed systems of record into the graph, the vector index, and live-query caches.\n\nPut it to work for AI agents: \nBuild Graph RAG that combines graph traversal, vector search, and LLM reasoning for multi-hop CX queries.\nBuild agent workflows with LangChain, LangGraph, Anthropic tool use, CrewAI, or a similar tool, integrated with the MCP Gateway.\nDesign the eval suite that runs alongside every scenario and checks agent behavior against customer-owned policy.\n\nRun it in production, and in front of customers: \nOwn the system-level calls: query optimization, indexing, traversal depth limits, caching, and performance tuning.\nShip with proper observability, versioning, and rollback.\nWork forward-deployed: embed with customers to map their data, co-build flows and ship the runtime, then present the design to their architects with clarity and confidence.\n\nRequirements: \nYou've built it, not just drawn it. 4-8 years building production systems, including graph-based or retrieval systems you designed and shipped yourself. You write graph queries, debug traversal performance, review pipelines, and ship code.\nGraph depth. Hands-on with Neo4j, TigerGraph, Amazon Neptune, or similar. You know graph modelling inside out (nodes, relationships, properties, labels, directionality, traversal patterns, bitemporal edges), and you're fluent in Cypher, Gremlin, or equivalent, including query, index, and traversal optimization.\nLLM and agentic systems. You've built with function calling, tool use, and retrieval-augmented generation, using LangChain, LangGraph, Anthropic tool use, CrewAI, or similar. You understand embeddings, similarity search, and hybrid retrieval with reranking.\nData engineering. You've built ETL/ELT pipelines, CDC streams, and cross-system integrations at scale, and you've worked with entity extraction, entity resolution, or record linkage.\nSystems fundamentals. Strong system design and distributed systems thinking: scalability, fault tolerance, consistency models, and caching.\nPolyglot and production-ready. Comfortable across Python, TypeScript/Node.js, and SQL, with containerized deployments on Docker and Kubernetes.\nA builder who gets things done. You do your best work from a blank page: you figure it out, try things fast, and get them done without waiting to be told. No task is above or below you.\nLocation. Based in, or willing to relocate to, Bangalore. Remote is possible for exceptional candidates.\n\nEven Better: \nGraph RAG in production: Hybrid retrieval architectures, or retrieval systems built for LLM-powered products.\nEntity resolution platforms: Senzing, Tilores, or equivalent.\nNeo4j beyond the basics: APOC, full-text search, vector indexes, or graph analytics libraries.\nStreaming and CDC: Debezium or Estuary Flow, and event streaming with Kafka, SQS, or Pub/Sub.\nEnterprise SaaS data models: You know the APIs and data models of Salesforce, HubSpot, SAP, or Zendesk.\nCX and multi-tenancy: CX workflows, contact center operations, or B2B2C multi-tenant architectures.\nMCP: Model Context Protocol or similar agent-to-tool protocols.\nSkills\nAI agents, Cypher, Gremlin, LangChain, LangGraph, Neo4j, Neptune, RAG, TigerGraph, hybrid search, knowledge graph, vector search","description_format":"text","description_chars":5508,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-27T02:36:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":31,"reasons":["seen:0","win:early"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/synqed-senior-solution-architect","json_url":"https://alion.io/job/synqed-senior-solution-architect.json","meta":{"generated_at":"2026-10-27T15:03:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3844,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4479003},"rest":"https://alion.io/mcp/rest/get_company?id=4479003"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsynqed-senior-solution-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsynqed-senior-solution-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsynqed-senior-solution-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/synqed-senior-solution-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsynqed-senior-solution-architect"}]}