Forward Deployed AI Architect – Lat Am IRC299908

Function

Engineering

Experience

15+ years

Location

Argentina - Buenos Aires

Skills

Autogen, Claude code, Cursor, Google Antigravity, langchain, llamaindex, MCP, openai, RAG, semantic kernel, Vector Databases (AI/RAG)

Department/Project Description

We are seeking a Forward-Deployed AI Product Architect to work at the intersection of core product engineering, AI orchestration, and high-impact client deployment. In this role, you will bridge the gap between our core AI platform capabilities and the highly regulated, complex workflows of our enterprise clients

Requirements

Role Summary

We are looking for an exceptional Principal AI Acceleration Architect (Forward Deployed AI Engineer) who can work directly with enterprise customers to transform software engineering using AI.

This is not a traditional Solution Architect or AI Consultant role. We are looking for someone who is equally comfortable writing production code, building autonomous AI agents, designing enterprise architectures, influencing executive stakeholders, and leading engineering transformation.

You will work alongside customer engineering and product teams to redesign the Software Development Lifecycle (SDLC) into an AI-Driven Software Development Lifecycle (AIDLC)-leveraging AI coding assistants, agentic workflows, autonomous engineering loops, and intent-driven software delivery.

The ideal candidate is a builder first, architect second, and advisor third.

Key Responsibilities

AI-Led Software Engineering Transformation

Partner with customer engineering, product, architecture, platform, and executive leadership to identify opportunities for AI-driven engineering acceleration.

Assess existing SDLC maturity and define transformation roadmaps toward AI-native engineering organizations.

Design AI-first engineering operating models covering planning, development, testing, deployment, governance, and operations.

Build Production-Ready AI Solutions

Design, build, and deploy production-scale AI agents—not proofs of concept.

Develop end-to-end autonomous engineering workflows using modern AI development frameworks.

Build systems capable of generating plans, code, tests, documentation, reviews, and deployment artifacts with human governance.

Drive Intent-Driven Software Delivery

Help customers evolve from:

Champion concepts including:

Software Defined Development (SDD)

Intent Driven Engineering

Agentic Software Delivery

AI-native SDLC

Autonomous Delivery Loops

Customer Advisory

Work directly with:

CIOs

CTOs

Chief Architects

Engineering Leaders

Product Leaders

Present:

Architecture

Technical strategy

Transformation roadmap

Business outcomes

ROI

Adoption models





Challenge assumptions and influence executive decisions using first-principles thinking.

Define Measurable Outcomes

Scale Engineering Excellence

Help customers operationalize AI engineering by defining:

Governance

Security

Human-in-the-loop controls

AI observability

Platform architecture

Organizational operating model

Engineering metrics

Change management

Job responsibilities

Required Qualifications

Experience

15+ years in software engineering, architecture, product engineering, platform engineering, solution architecture, or related technical leadership roles.

Significant hands-on experience delivering enterprise software products at scale.

Experience working directly with enterprise customers in complex transformation engagements.

Proven track record of building production-grade engineering platforms—not just prototypes.

Experience working across multiple customer environments and engineering archetypes.

AI-First Engineering Mindset

The successful candidate should be able to independently:

Build production-grade AI agents end-to-end.

Design multi-agent systems.

Build autonomous engineering workflows.

Implement intent-driven software delivery.

Apply AI across the complete software lifecycle.

This role expects practical expertise - not prompt engineering.

Technical Expertise

Hands-on experience with modern AI engineering platforms including several of:

Coding Platforms

Claude Code

Cursor

OpenAI Codex

Git Hub Copilot

Google Cloud Code

Windsurf

Antigravity

Agent Frameworks

Lang Chain

Auto Gen

Semantic Kernel

Llama Index

CrewAI

Model Context Protocol (MCP)

AI Engineering

Retrieval Augmented Generation (RAG)

Vector Databases

Evaluation Frameworks

Prompt Engineering

Tool Calling

Function Calling

Multi-agent orchestration

AI Observability

Leadership Expectations

We are looking for individuals who:

Influence without authority.

Challenge customer assumptions constructively.

Simplify complex technical concepts.

Drive alignment across business and engineering.

Lead through technical credibility.

Build trust quickly with customer teams.

Doer Mindset

This role requires builders—not reviewers.

The idóneo candidate:

Writes code every week.

Builds working systems personally.

Reads research papers continuously.





Experiments with emerging AI tooling.

Learns rapidly.

Removes delivery blockers regardless of ownership.

Has no ego around titles or hierarchy.

Leads from the front.

Customer Discovery Skills

Candidates should demonstrate the ability to:

Understand a customer’s business within 48 hours.

Identify engineering bottlenecks rapidly.

Connect business outcomes with technical transformation.

Design scalable solutions aligned to customer constraints.

Translate business intent into AI-enabled engineering systems.

Preferred Qualifications

Experience leading AI transformation across multiple enterprise customers.

Experience with large-scale software modernization.

Experience building internal developer platforms.

Experience creating reusable engineering accelerators.

Knowledge of Responsible AI, governance, and compliance.

Published technical blogs, conference talks, or open-source contributions in AI engineering are a plus.

Ability to provide references from at least three enterprise customer engagements demonstrating successful delivery of production-scale AI engineering solutions.

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 general centers or client facilities!

Work-Life Balance: Global Logic 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 Global Logic

Global Logic, 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.

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📌 Forward Deployed AI Architect – LatAm8 (Buenos Aires)
🏢 Globallogic
📍 Buenos Aires