Principal AI Engineer I IRC305792

GlobalLogic Inc.; Buenos Aires; Hybrid; ARS 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Competitive salaries

Family medical insurance

Annual performance bonuses

Referral bonuses

Flexible work schedules

Travel internationally

Job summary

GlobalLogic Inc. is seeking an AI Systems Engineer to design production-grade agentic AI systems powering intelligent automation. You will work on the AI Practice team, connecting LLMs to data ecosystems and beyond, reporting to the Global Head of AI Strategy, Policy, and Governance.

You’ll operate at the frontier of multi-agent orchestration. You will build pipelines with LangGraph and LangChain, integrate with Snowflake, OpenSearch, and MCP, and deploy on AWS Bedrock while delivering

Qualifications

• Hands-on experience building and shipping agentic AI systems.
• Proficiency in Python and modern AI engineering stack.
• Experience with LangGraph, LangChain, AgentCore, or similar multi-agent frameworks.
• Experience integrating LLMs via AWS Bedrock or similar APIs.
• Data-source integrations with Snowflake, Iceberg, OpenSearch, or similar; familiarity with Qlik Cloud Analytics is a plus.
• Familiarity with MCP or equivalent data-access patterns.
• Experience building production REST APIs using FastAPI or similar.
• Hands-on AWS experience; Bedrock exposure preferred; IAM/Lambda/API Gateway knowledge.

Responsibilities

• Build multi-agent pipelines and orchestration with LangGraph and AgentCore.
• Develop sophisticated prompt pipelines with LangChain for agents.
• Integrate agents with data ecosystems (Qlik, Snowflake, OpenSearch, Iceberg).
• Connect agents to Qlik MCP server for live data access.
• Deploy and manage LLM-powered agents on AWS Bedrock at scale.
• Create lightweight production APIs with FastAPI for downstream use.
• Iterate rapidly in a fast-moving incubator environment.
• Collaborate with CS, Sales, and Analytics teams to translate needs into architecture.

Skills

Python

LangGraph

LangChain

AgentCore

MCP

AWS Bedrock

FastAPI

OpenSearch

Snowflake

Tools

LangGraph

LangChain

AgentCore

MCP integrations

REST APIs

Job 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:
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.
• 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.