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Agentic Systems Architect

Hitachi

Dallas, TX · HybridFull-timePosted 2w agoStill listed today

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At a glance

Compensation
No compensation found
Location
Dallas, TXHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Agentic Systems Architect designs and deploys end-to-end agentic systems that connect data, analytics, and operations. The role bridges agent infrastructure—including LLMs, tools, memory, and MCP—with data architecture such as lakehouses, semantic layers, and knowledge graphs. It focuses on enabling safe, governed, cost-controlled reasoning over complex data.

Skills & qualifications

RequiredNice to have

Skills

Multi-Agent Orchestration, requiredAgent Guardrails, requiredMCP Servers, requiredSemantic Layers, requiredText-to-SQL, requiredKnowledge Graphs, requiredEntity Resolution, requiredVector Databases, requiredANN, requiredHNSW, requiredChunking, requiredObservability Systems, requiredFinOps, requiredCost Optimization, requiredPython, requiredREST API Design, requiredTerraform, requiredCI/CD, requiredCloud Infrastructure, requiredDatabricks, nice to haveAutomotive, nice to haveSupply Chain, nice to haveGraphRAG, nice to haveMulti-Hop Reasoning, nice to haveModel Routing, nice to haveHuman-in-the-Loop Workflows, nice to havePrompt Versioning, nice to haveSystematic Evaluation, nice to have

Qualifications

10+ Years Software Engineering Experience, required2+ Years Production LLM Experience, requiredProduction Agent Applications, requiredProduction Evaluation Frameworks, requiredProduction Vector Database Experience or Knowledge Graph Experience, required

Full job description

Function

Cloud & Data Engineering Our Company

We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

Job description

Summary Design and deploy end-to-end agentic systems that integrate data, analytics, and operations. Bridge agent infrastructure (LLMs, tools, memory, MCP) with data architecture (lakehouses, semantic layers, knowledge graphs) to enable safe, governed, cost-controlled reasoning over complex data.

Key Responsibilities

  • 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.

Required Experience

  • 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.

#LI-MS2

About us

We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

How we look after you

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.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

How this job compares

Set against the 8,689 open Software Engineering jobs on Olive Jobs, counted November 10, 2026.

Pay
  • This postingNot listed
  • Texas median$139–235K/yr295 salary ranges
  • US median$34–43/hr467 hourly ranges
Openings
Olive Jobs lists 518 open Software Engineering jobs in Texas and 8,689 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Texas
Experience
This posting asks for at least 10 years of experience; Software Engineering postings that state a minimum ask for 7 years at the median (6,620 postings).
Education
2,174 of the 8,689 open Software Engineering jobs (25%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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