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.
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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.
