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# Agentic Systems Architect

- **Company:** Hitachi, Ltd.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Business Logic, Cloud Computing, Databases, Continuous Integration, Graph Database, Information Retrieval, Python (Programming Language), Metadata, Neo4j, Regression Testing, Software Engineering, SQL Databases, Systems Architecture, Management of Software Versions, Pinecone, Cloud Platform System, Epic Haiku, Large Language Models, Multi-Agent Systems, HNSW (Hierarchical Navigable Small World), Agentic-AI, Data Layers, Low Latency, Enterprise Integration, OPUS (Software), Virtual Agents, Entity Resolution, Graph RAG, Restful APIs, Terraform, Dynatrace, Human in the Loop, OpenSearch, Databricks
- **Published:** October 27, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88668134/1

## About the Role

* 10+ years in software engineering, platform engineering, or systems architecture.
 * 2+ years shipping production LLM or agent applications (not prototypes).
 * Hands-on with multi-agent frameworks; understand loops, tool calling, memory, constraints.
 * Built and deployed MCP servers; understand transport, auth, statefulness.
 * Shipped evaluation frameworks (golden sets, LLM-as-judge) as release gates; measured agent quality in production.
 * Designed or worked with lakehouse (AWS, Databricks or similar); understand semantic layers, text-to-SQL, governance.
 * Production experience with vector databases; know ANN, HNSW, chunking trade-offs or Built or maintained knowledge graphs (RDF/OWL, Neo4j, property graphs); understand entity resolution and relationship inference.
 * Built observability systems for multi-step workflows: traced tokens, latency, cost, model versions (OpenTelemetry, Dynatrace, etc.).
 * FinOps or cost optimization in cloud systems; demonstrated ability to control runaway compute or API costs.
 * Python, REST API design, infrastructure-as-code (Terraform), CI/CD, cloud infrastructure (AWS).

Nice to Have

 * Databricks experience (Genie, Mosaic AI Agent Framework, Unity Catalog).
 * Automotive or supply-chain domain expertise.
 * GraphRAG or multi-hop reasoning patterns.
 * Model routing and cost optimization (Haiku vs Opus).
 * Human-in-the-loop approval workflows.
 * Prompt versioning and systematic evaluation.

## Description

* Design multi-agent orchestration (orchestrator-worker, hierarchical) and justify architecture for business use cases.
 * Build constraint-driven agents with explicit guardrails, scoring gates, and approval workflows for high-impact actions.
 * Architect MCP servers for enterprise integration; define auth, role-based access, stateful vs stateless patterns.
 * Design semantic layers over Databricks (metrics, dimensions, business logic); implement text-to-SQL with cost estimation and query safeguards.
 * Design knowledge graphs or ontologies for supplier/parts relationships; plan entity resolution and multi-hop queries.
 * Select vector database (OpenSearch, Pinecone, native Databricks); design chunking, hybrid retrieval, metadata filtering.
 * Establish tracing for agents: inputs, reasoning, tool calls, latency, tokens, cost, model versions.
 * Design evaluation frameworks as release gates (golden sets, LLM-as-judge, regression tests).
 * Implement per-decision cost tracking, alerts for runaway loops, per-tenant budgets.
 * Design secure deployment (identity, secrets, compute), versioning, canary rollouts, on-call runbooks., We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.