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Nablon AI

Solution Architect

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Description

You own the technical architecture for our most strategic Fortune 500 engagements as a forward-deployed architect, a trusted voice to enterprise CIOs, and an internal owner of platform capabilities that compound across every deployment.


Responsibilities:

  • Reimagine the workflow, not just automate it.
  • Engineer the agentic stack at scale.
  • Be the technical authority in the C-suite.
  • Ground agents in real enterprise data.
  • Responsible AI & traceability.
  • Evaluation & verification.
  • Platform compounding.


Requirements:

  • 14+ years shipping production systems at enterprise scale real systems that ran and survived.
  • End-to-end ownership of backend systems, APIs, and data pipelines, design through operation.
  • Data lakes & warehouses: a working command of how data flows through an enterprise.
  • Enterprise cloud fluency: AWS/Azure/GCP, event-driven architecture, Kafka-class streaming, durable execution, microservices.
  • Strong CS fundamentals: distributed systems, concurrency, data structures, reliability engineering.
  • Real-spine integration: ERPs, CRMs, legacy systems-of-record security and governance built in.
  • Genuine hunger to move into agentic AI, with a real point of view on the paradigm.
  • Exceptional communication: whiteboard an architecture, write a CIO memo, ship code by morning.
  • Any hands-on LLM/GenAI exposure: side projects, internal tools, RAG prototypes, evals.
  • Modern data stack depth: Snowflake, Databricks, dbt, Spark, streaming/CDC, lakehouse.
  • Knowledge representation, data modelling, entity resolution, graph databases, ontology work.
  • FDE / IT consulting architect-level, or pre-sales / solution architecture experience.
  • Domain depth: CPG, Banking/FinServ, MedTech, or Industrial/Manufacturing.
  • Observability, production tracing and automated eval/test pipelines.
  • Public footprint talks, papers, OSS, design docs on systems or data architecture.

Skills

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