職種概要
The AI Systems Engineer Role
As an AI Systems Engineer on Client AI Practice team, you will design and build
production-grade agentic AI systems that power the next generation of intelligent automation at
project. Reporting to the Global Head of AI Strategy, Policy, and Governance, you will work at the
frontier of multi-agent orchestration — connecting large language models to project data
ecosystem and beyond, turning complex data signals into reliable, automated action.
What makes this role interesting?
• Frontier Technology: You’ll work directly with cutting-edge agentic frameworks —
LangGraph, LangChain, AgentCore, MCP — building systems that most engineers are
only reading about.
• Real Impact: The pipelines you build will directly power customer-facing intelligence,
internal automation, and executive decision support across a 40,000+ customer base.
• Collaborative Team: You’ll be embedded in a small, high-velocity AI Practice team with
a direct line to executive leadership and cross-functional stakeholders across CS, Sales,
and Product.
必要条件
We’re looking for a teammate with:
The ideal candidate will have hands-on experience building and shipping agentic AI systems,
with deep proficiency in Python and the modern AI engineering stack:
• Python Expertise: Python is your primary language. You write clean, production-grade
code, build robust data pipelines, and are comfortable owning the full lifecycle from
prototype to deployment.
• Agentic Frameworks: Practical experience with LangGraph, LangChain, AgentCore, or
comparable multi-agent orchestration frameworks — including agent routing, state
management, tool use, memory, and evaluation.
• LLM Integration: Demonstrated experience integrating large language models via AWS
Bedrock, Anthropic APIs, or similar — including prompt engineering, context
management, and output validation.
• Data Source Integrations: Hands-on experience connecting applications to modern
data platforms including Snowflake, Apache Iceberg, OpenSearch, or similar.
• MCP / Tool-Use Patterns: Familiarity with Model Context Protocol (MCP) or equivalent
patterns for giving agents structured, governed access to external data systems.
• API Development: Experience building production REST APIs using FastAPI or
comparable Python frameworks.
• Cloud Platforms: Hands-on AWS experience, with Bedrock exposure strongly
preferred. Familiarity with IAM, Lambda, and API Gateway a plus.
Beyond technical skills, we’re looking for someone who brings:
• Bias for Action: You ship, instrument, and iterate — you don’t wait for perfect
requirements.
• Strong Communication: Ability to translate complex agentic system behavior to
non-technical stakeholders clearly and concisely.
• Security and Governance Mindset: Awareness of responsible AI practices, data
privacy considerations, and the importance of auditability in agentic systems.
• Collaborative Spirit: Comfortable working across functions and levels, from CSMs to
the C-suite.
職務内容
Here’s how you’ll be making an impact:
• Build Multi-Agent Pipelines: Design and implement orchestrated multi-agent systems
using LangGraph and AgentCore, including routing logic, evaluation loops, retry
mechanisms, and agent specialization patterns.
• Develop with LangChain: Leverage LangChain to build sophisticated prompt pipelines,
tool-augmented agents, memory constructs, and retrieval-augmented generation
workflows.
• Integrate Across the Data Ecosystem: Build reliable, performant Python integrations
connecting agents to Cloud Analytics, Snowflake, Apache
Iceberg, OpenSearch, and other data sources via MCP and direct API patterns.
• Deploy on AWS Bedrock: Leverage AWS Bedrock to host, invoke, and manage
LLM-powered agents at scale, ensuring reliability, cost efficiency, and security
compliance.
• Build FastAPI Services: Develop lightweight, production-ready API services that
expose agentic capabilities to downstream consumers and orchestration platforms.
• Iterate Rapidly: Operate in a fast-moving incubator environment — prototype quickly,
instrument your work, and evolve solutions based on real usage signals.
• Collaborate Cross-Functionally: Partner closely with Customer Success, Sales, and
Analytics stakeholders to translate business requirements into agentic architectures.
私たちが提供するもの
Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment:Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions.
Professional Development:Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. We also offer the chance to travel internationally
Excellent Benefits:We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.
GlobalLogicについて
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
