Description

As an AI Systems Engineer on Qlik’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 project. Reporting to the General 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.n

Requirements

- Hands‑on experience building and shipping agentic AI systems, with deep proficiency in Python and the modern AI engineering stack.
- Python Expertise: write clean, production‑grade code, build robust data pipelines, and own 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 such as 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.

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

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.n

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands‑on opportunities to grow personally and professionally.

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Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem‑solving skills as you help clients reimagine what’s possible and bring new solutions to market.

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In the process, you’ll have the privilege of working on some of the most cutting‑edge and impactful solutions shaping the world today.

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Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can ex

📌 Senior AI Engineer3 (Bogotá)
🏢 GlobalLogic
📍 Bogotá