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 Designs, secures, and operates AI agents along with the tools they invoke, incorporating the tracing, evaluation, and cost-management capabilities required for production environments. Key Responsibilities Develop AI agents and strongly typed tools that integrate with enterprise systems. Implement entitlements, agent identities, guardrails, and approval workflows for high-impact actions. Establish tracing, evaluation, and cost-per-decision monitoring capabilities (FinOps for AI). Manage the full agent lifecycle, including versioning, deployment, and operational monitoring. Integrate agents with existing engineering platforms and streaming data sources, and provide operational runbooks for support teams. Technology and Skills Python development and API engineering (REST, typed schemas) LLM application and agent frameworks (LangChain, LangGraph, or equivalent), including tool/function calling and Model Context Protocol (MCP) LLM evaluation, tracing, and observability tools (MLflow, LangSmith, OpenTelemetry, or equivalent) Ontologies and knowledge graph technologies (RDF/OWL, property graph platforms such as Neo4j, or equivalent) Cloud infrastructure, CI/CD pipelines, and infrastructure-as-code practices supporting Agentic Platforms Identity management, access controls, and guardrail implementation for AI systems Experience 10 years of experience in software engineering or platform engineering 2 years of experience developing and deploying production-grade LLM or agent-based applications Experience designing human-in-the-loop approval workflows and using evaluation frameworks as release gates Nice to Have Experience with Databricks (Genie, Mosaic AI, Agent Framework) Familiarity with AI-assisted software development lifecycle practices Automotive or manufacturing industry experience #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.

Requirements

Must-haves

Cloud & Data Engineering
Designs, secures, and operates AI agents along with the tools they invoke, incorporating the tracing, evaluation, and cost-management capabilities required for production environments.
Develop AI agents and strongly typed tools that integrate with enterprise systems.
Implement entitlements, agent identities, guardrails, and approval workflows for high-impact actions.
Establish tracing, evaluation, and cost-per-decision monitoring capabilities (FinOps for AI).
Manage the full agent lifecycle, including versioning, deployment, and operational monitoring.
Integrate agents with existing engineering platforms and streaming data sources, and provide operational runbooks for support teams.
Technology and Skills
Python development and API engineering (REST, typed schemas)
LLM application and agent frameworks (LangChain, LangGraph, or equivalent), including tool/function calling and Model Context Protocol (MCP)
LLM evaluation, tracing, and observability tools (MLflow, LangSmith, OpenTelemetry, or equivalent)
Ontologies and knowledge graph technologies (RDF/OWL, property graph platforms such as Neo4j, or equivalent)
Cloud infrastructure, CI/CD pipelines, and infrastructure-as-code practices supporting Agentic Platforms
Identity management, access controls, and guardrail implementation for AI systems
10 years of experience in software engineering or platform engineering
2 years of experience developing and deploying production-grade LLM or agent-based applications
Experience designing human-in-the-loop approval workflows and using evaluation frameworks as release gates

Nice-to-haves

Experience with Databricks (Genie, Mosaic AI, Agent Framework)
Familiarity with AI-assisted software development lifecycle practices
Automotive or manufacturing industry experience

Application prep

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Keywords to mirror

aipythonapirestllmci/cd

Platform: workday
Effort: long

Benefits

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