AI Lead Engineer

Globant; Abu Dhabi; On-site; AED 420,000 - 720,000; Full time

Job summary

Globant is seeking a Lead AI Engineer to build advanced AI-driven solutions for digital experiences. You will lead engineering across delivery pods, shaping scalable AI platforms and driving best practices in production-grade LLM systems.

In this role you will champion safety, governance, and performance while integrating AI with core banking systems, and mentoring engineers to raise bar on engineering standards across teams.

Qualifications

• 7+ years of software engineering experience on high-traffic systems.
• 3+ years building production-grade LLM/Agent AI systems.
• Expertise in Python and/or TypeScript with distributed architectures.
• Leadership in code reviews and setting quality standards.

Responsibilities

• Build and refine AI agent systems and policies.
• Enforce safety and prevent hallucinations in LLM actions.
• Design and optimize RAG pipelines and guardrails.
• Develop automated evaluation for behavior and hallucinations.
• Engineer scalable cloud-native microservices on Kubernetes.
• Integrate AI platform with core banking systems securely.
• Lead engineering standards across delivery pods and mentor engineers.

Skills

Software engineering

Distributed systems

Latency optimization

Code reviews

Tools

Kubernetes

Terraform

CDK

Kafka

Job description

At Globant we are working to make the world a better place one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries we are strategic partners to leading global companies in their business process transformation.

We are seeking a Lead AI Engineer who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized intelligent digital experiences.

Key Responsibilities

• AI & Agent System Engineering Build and refine the AI CFO super-agent specialist sub-agents intent classification pipelines tool routing logic and session memory
• Deterministic Policy Enforcement Build and maintain the Tool Gateway layer to validate all LLM-generated actions against strict banking policies ensuring zero hallucinated transactions
• RAG & Guardrails Engineer end-to-end RAG pipelines ingestion vector indexing retrieval optimization Implement programmatic guardrails Trust Dial logic for autonomous vs approval modes
• AI Evaluation Frameworks Design automated continuous evaluation pipelines to detect behavioral regressions and hallucination risks before releases reach staging or production
• Cloud-Native & Performance Engineering Build resilient containerized stateless microservices on Kubernetes designed for high concurrency and horizontal scaling Optimize LLM inference layers token budget management streaming responses prompt caching model fallbacks Engineer real-time event streaming pipelines via Kafka AWS MSK for proactive banking triggers Implement deep observability using OpenTelemetry Prometheus and Grafana for full auditability of agent reasoning chains
• Banking Integration & Safety Build robust API adapter layers connecting the AI platform with core banking systems incorporating retry logic rate limiting and idempotency keys Implement legacy service facades and secure transaction safety nets rollback mechanisms duplicate transaction detection and reconciliation Enforce enterprise security protocols mTLS OAuth 2.0 secret rotation
• Engineering Leadership & Standards Set and enforce code quality test coverage and definition-of-done criteria across four delivery pods Lead the AI engineering community of practice architecture syncs reusable libraries design pattern documentation Mentor engineers on production AI design practices and sign off on release quality gates

Core Tech Stack

Languages

Python TypeScript Dart Flutter dynamic UI context

AI LLM

Anthropic Claude Haiku Sonnet LangGraph or custom agent frameworks

Data & Search

pgvector Pinecone PostgreSQL Redis

Streaming & Messaging

Apache Kafka AWS MSK

Cloud & DevOps

Kubernetes EKS AKS Terraform CDK GitHub Actions CI CD

Observability

OpenTelemetry Prometheus Grafana

Location Onsite Dubai UAE

Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity driving digital transformation to impact the world positively.

We may use AI and machine learning technologies in our recruitment process. Compensation is determined based on skills qualifications experience and location. In addition to competitive salaries we offer a comprehensive benefits package. Learn more about our commitment to diversity and inclusion and Globant s Benefits.

Must-Haves

• 7+ years of overall software engineering experience with a strong track record of shipping complex, high-traffic production systems.
• 3+ years of hands-on experience building and deploying production-grade LLM/Agentic AI systems at scale (orchestrator/worker patterns, tool calling, RAG pipelines, prompt safety).
• Deep expertise in Python and/or TypeScript with solid software design principles (distributed systems, concurrency, fault tolerance).
• Proven track record deploying containerized workloads using Kubernetes on major cloud providers (AWS/Azure/GCP) using IaC tools like Terraform or CDK.
• Direct experience with system performance tuning, latency budgets, caching strategies, and event-driven architectures (Kafka).
• Demonstrated technical leadership experience as a Lead/Staff Engineer conducting rigorous code reviews and setting quality standards.

Nice-to-Haves

• Direct experience within Banking, Fintech, or Financial Services, especially integrating with core banking APIs, payment rails, or card platforms.
• Familiarity with financial compliance and security standards (PCI-DSS, SOC 2, zero-tolerance data correctness).