Description 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 Integral Head of AI Strategy, Policy, and Governance, you will work at the frontier of multi-agent orchestration — connecting large language models to client 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.

Requirements

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.



Familiarity with Qlik Cloud Analytics or Qlik Talend Cloud is a strong plus.
- 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.

Job responsibilities

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.
- 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.

What we offer

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.

About GlobalLogic

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.

📌 Principal AI Engineer I8 (Buenos Aires)
🏢 Globallogic
📍 Buenos Aires