Agentic Systems Architect

Posted 13 Days Ago
Be an Early Applicant
Dallas, TX, USA
In-Office
Expert/Leader
Fintech • Information Technology • Logistics
The Role
Designs and deploys production agentic systems integrating LLMs, multi-agent orchestration, MCP servers, lakehouses, semantic layers, knowledge graphs, vector databases, and enterprise tools. Establishes guardrails, evaluation gates, observability, cost controls, secure deployment, and approval workflows. Requires extensive software or systems architecture experience, production LLM application delivery, cloud infrastructure expertise, and proficiency with Python, AWS, Terraform, and CI/CD.
Summary Generated by Built In

Function

Cloud & Data EngineeringOur 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 descriptionSummary

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.

Skills Required

  • 10+ years of experience in software engineering, platform engineering, or systems architecture
  • 2+ years shipping production LLM or agent applications
  • Hands-on experience with multi-agent frameworks, including loops, tool calling, memory, and constraints
  • Experience building and deploying MCP servers, including transport, authentication, and statefulness
  • Experience shipping evaluation frameworks with golden sets and LLM-as-judge release gates
  • Experience designing or working with lakehouses such as AWS or Databricks
  • Understanding of semantic layers, text-to-SQL, and governance
  • Production experience with vector databases and ANN, HNSW, chunking, or retrieval trade-offs
  • Experience building or maintaining knowledge graphs, including RDF/OWL or Neo4j
  • Experience with observability systems for multi-step workflows
  • Experience tracing tokens, latency, cost, and model versions
  • FinOps or cloud cost-optimization experience
  • Python proficiency
  • REST API design experience
  • Infrastructure-as-code experience with Terraform
  • CI/CD experience
  • Cloud infrastructure experience with AWS
  • Databricks experience, including Genie, Mosaic AI Agent Framework, or Unity Catalog
  • Automotive or supply-chain domain expertise
  • GraphRAG or multi-hop reasoning experience
  • Model routing and cost optimization experience
  • Human-in-the-loop approval workflow experience
  • Prompt versioning and systematic evaluation experience
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The Company
HQ: Tokyo
33,676 Employees

What We Do

Since its founding in 1910, Hitachi has responded to the expectations of society and its customers through technology and innovation. Our mission is to “Contribute to society through the development of superior, original technology and products.” Over the past 100+ years this commitment has led us to work towards creating a more sustainable society through our “Social Innovation Business”. We work to apply our expertise in information technology (IT), operational technology (OT), and a wide variety of products to advance social infrastructure systems and improve quality of life across the world.

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