Principal AI Engineer I IRC305792

GlobalLogic; Buenos Aires; On-site; ARS 181,904,000 - 272,855,000; Full time

Benefits offered by this job

Exciting Projects

Collaborative Environment

Work-Life Balance

Professional Development

Competitive Benefits

Job summary

GlobalLogic seeks an AI Systems Engineer to design and build production-grade agentic AI systems powering automated actions across data ecosystems. You will work on LangGraph/LangChain-based pipelines, integrating with Qlik Cloud Analytics and Snowflake, and deploying on AWS Bedrock.

You will collaborate across CS, Sales, and Product, shipping iteratively with a bias for action and clear communication to stakeholders.

Qualifications

• Python is your primary language and you write clean, production-grade code.

Responsibilities

• 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.

Skills

Python

LangGraph

LangChain

AgentCore

LLM Integration

Data Integration

MCP Protocol

REST APIs

AWS Bedrock

Security & Governance

Communication

Collaboration

Tools

FastAPI

Qlik Cloud Analytics

Qlik Talend Cloud

Snowflake

Apache Iceberg

OpenSearch

AWS IAM

Lambda

API Gateway

Job description

Description

The AI Systems Engineer Role

As an AI Systems Engineer on out client’s AI Practice team, you will design and build production-grade agentic AI systems that power the next generation of intelligent automation at our client architecture. 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 Qlik’s 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:

• 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.
• 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

• 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 Qlik Cloud Analytics, Qlik Talend Cloud, Snowflake, Apache Iceberg, OpenSearch, and other data sources via MCP and direct API patterns.
• Connect via MCP: Develop and maintain Python‑based integrations with Qlik’s MCP server to give agents real‑time, structured access to Qlik platform data and telemetry.
• 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.