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Hitachi

Diversified tech conglomerate delivering digital solutions

Agentic Systems Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeDallas, TX, USANo salary listedHybrid

About the Job

Requirements

  • At least 10 years of experience in software engineering, platform engineering, or systems architecture.
  • At least 2 years of experience shipping production large language model or agent applications, not prototypes.
  • Hands-on experience with multi-agent frameworks and understanding of loops, tool calling, memory, and constraints.
  • Experience building and deploying Model Context Protocol servers and understanding transport, authentication, and statefulness.
  • Experience shipping evaluation frameworks, such as golden sets and large language model-as-judge, as release gates and measuring agent quality in production.
  • Experience designing or working with a lakehouse, such as AWS or Databricks, and understanding semantic layers, text-to-SQL, and governance.
  • Production experience with vector databases, including understanding approximate nearest neighbor search, hierarchical navigable small world graphs, and chunking trade-offs, or experience building or maintaining knowledge graphs using RDF/OWL, Neo4j, or property graphs, including understanding entity resolution and relationship inference.
  • Experience building observability systems for multi-step workflows and tracing tokens, latency, cost, and model versions using tools such as OpenTelemetry or Dynatrace.
  • FinOps or cost optimization experience in cloud systems, with demonstrated ability to control runaway compute or API costs.
  • Experience with Python, REST API design, infrastructure-as-code using Terraform, CI/CD, and cloud infrastructure such as AWS.

Responsibilities

  • Design multi-agent orchestration, including orchestrator-worker and hierarchical patterns, and justify architecture for business use cases.
  • Build constraint-driven agents with explicit guardrails, scoring gates, and approval workflows for high-impact actions.
  • Architect Model Context Protocol servers for enterprise integration and define authentication, role-based access, and stateful versus stateless patterns.
  • Design semantic layers over Databricks, including metrics, dimensions, and business logic, and implement text-to-SQL with cost estimation and query safeguards.
  • Design knowledge graphs or ontologies for supplier and parts relationships, and plan entity resolution and multi-hop queries.
  • Select a vector database, such as OpenSearch, Pinecone, or native Databricks, and design chunking, hybrid retrieval, and metadata filtering.
  • Establish agent tracing for inputs, reasoning, tool calls, latency, tokens, cost, and model versions.
  • Design evaluation frameworks as release gates using golden sets, large language model-as-judge, and regression tests.
  • Implement per-decision cost tracking, alerts for runaway loops, and per-tenant budgets.
  • Design secure deployment covering identity, secrets, and compute, as well as versioning, canary rollouts, and on-call runbooks.

Desired Qualifications

  • Experience with Databricks, including Genie, Mosaic AI Agent Framework, or Unity Catalog.
  • Automotive or supply-chain domain expertise.
  • Experience with GraphRAG or multi-hop reasoning patterns.
  • Experience with model routing and cost optimization, such as Haiku versus Opus.
  • Experience with human-in-the-loop approval workflows.
  • Experience with prompt versioning and systematic evaluation.

About the Company

Hitachi

Diversified tech conglomerate delivering digital solutions

Hitachi is a global conglomerate operating in energy, digital solutions, home appliances, and infrastructure to support governments, businesses, and consumers. Its offerings turn data into actionable insights through digital transformation services and Hitachi Energy’s renewable energy and grid solutions. It differentiates itself with an integrated portfolio that combines hardware, software, and services and a emphasis on societal impact and sustainability. Its goal is to build a sustainable society by using technology and data to improve energy efficiency, infrastructure resilience, and quality of life.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1910

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