Agent Platform Engineer

Hitachi • Dallas, TX

7d

About The Position

The Agent Platform Engineer designs, secures, and operates AI agents and the tools they invoke, including the tracing, evaluation, and cost-management capabilities needed for production environments. The role develops AI agents and strongly typed tools integrated with enterprise systems; implements agent identities, entitlements, guardrails, and approval workflows; and establishes monitoring for tracing, evaluation, and cost per decision. It manages the full agent lifecycle, from versioning and deployment to operational monitoring, and integrates agents with existing engineering platforms and streaming data sources. The engineer also provides operational runbooks for support teams.

The position is part of Cloud & Data Engineering at Hitachi Digital Services. The company describes its work as digital solutions and transformation, and emphasizes inclusive culture, flexible arrangements where role and location allow, employee wellbeing, autonomy, and ownership.

Requirements

• 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.
• Experience using evaluation frameworks as release gates.
• Python development and API engineering, including REST and typed schemas.
• Knowledge of LLM application and agent frameworks such as LangChain, LangGraph, or equivalent, including tool/function calling and Model Context Protocol (MCP).
• Knowledge of LLM evaluation, tracing, and observability tools such as MLflow, LangSmith, OpenTelemetry, or equivalent.
• Knowledge of ontologies and knowledge graph technologies, such as RDF/OWL or property graph platforms such as Neo4j.
• Knowledge of cloud infrastructure, CI/CD pipelines, and infrastructure-as-code practices supporting Agentic Platforms.
• Knowledge of identity management, access controls, and guardrail implementation for AI systems.

Nice To Haves

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

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.
• Provide operational runbooks for support teams.

Benefits

• Industry-leading benefits, support, and services for holistic health and wellbeing.
• Flexible arrangements, dependent on role and location.
• Inclusive culture emphasizing belonging, autonomy, freedom, and ownership.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed