Bruno Sebastian Aguirre

Executive Summary

Hands-on AI Solution Architect and Technical Lead with 20+ years of engineering experience bridging applied artificial intelligence, enterprise data pipelines, and scalable software architecture. Specializes in forward-deployed solution engineering: translating ambiguous client problems into production-grade multi-agent architectures, reliable LLM/RAG pipelines, and automated business workflows. Combines direct coding depth in Python, distributed cloud infrastructure, and modern AI toolchains with seasoned technical leadership across cross-functional teams.

Core Technical Competencies

AI Solution Design & Orchestration

Agentic Workflows (LangGraph, Pydantic AI, LangChain), RAG Patterns, Vector Search, Tool Calling, Evaluation & Guardrails, Multi-Model Routing (Claude, GPT-4o, Gemini, DeepSeek).

Forward Deployed & Client Engineering

Discovery-to-Production Lifecycle, Technical Architecture Blueprints, PoC Scoping, API & Schema Design, Secure Enterprise Integrations, Stakeholder Collaboration.

Data & Cloud Infrastructure

Event-Driven Architectures, Big Data Pipelines (Kafka, Airflow, Dataproc), Data Lakes, Snowflake, Cloud Operations & Cost Optimization (GCP, AWS, Azure).

Languages & Communication

Code: Python, SQL, Java, Scala, Bash Shell.
Languages: Spanish (Native), Portuguese (Fluent), English (Fluent), German (Working Proficiency).

Professional Experience

Independent AI Solution Architect & Consultant

Apr 2024 – Present

Belo Horizonte, MG, Brazil (Remote / Hybrid)

Sigga Technologies: Led technical discovery and implementation of an internal AI knowledge retrieval agent on Azure OpenAI, reducing technical onboarding ramp-up and documentation retrieval friction for engineering teams.
Event-Driven Booking Agent: Engineered an autonomous conversational agent integrating WhatsApp Webhooks, Google Calendar, and GCP Gemini to automate scheduling, validation, and real-time reminders.
System Diagnostics & Recovery: Prototyped local finite-state machine diagnostic agents for autonomous fault-detection and recovery workflows on offline edge Linux systems.
Forward Deployed Advisory: Advise early-stage and enterprise teams on LLM infrastructure cost controls, prompt evaluation pipelines, and framework selection (Pydantic AI vs. LangGraph).

Tech Stack: Python, LangGraph, Pydantic AI, FastAPI, Azure OpenAI, GCP Vertex AI, Vector Databases, Docker.

Accenture — Senior Manager & Solution Architect

Mar 2015 – Apr 2024

Tech Lead — Generative AI Center of Excellence (CoE)Feb 2023 – Apr 2024

Built and led a core delivery team of 15 engineers and technical project leads developing enterprise Generative AI accelerators and architectural blueprints across LATAM.
Partnered directly with enterprise clients across banking, aviation, and retail to scope feasibility, define system constraints, and deliver rapid production-oriented MVPs.
Standardized architectural guidelines for data privacy, model governance, latency minimization, and token usage optimization across delivery squads.

Solution Architect — Biometric Identification Platform (Major Brazilian Bank)Sep 2023 – Dec 2023

Designed the technical solution architecture for a high-availability biometric authentication pipeline handling sensitive verification traffic.
Modeled workload capacity, estimated cloud infrastructure TCO, and defined resilient fallbacks aligning with strict banking regulations.

Cloud Data Migration Delivery Lead — WalmartMar 2022 – Feb 2023

Served as overall technical delivery lead for a joint 85-person cross-border engineering team (Brazil & Argentina) migrating regional analytics infrastructure to Google Cloud Platform.
Coordinated daily technical alignment between client engineering leadership and Google US partner engineering teams.
Implemented custom automated migration validation harnesses and batch validation scripts, preventing regression anomalies during live cutovers.

Key Impact: Transitioned 1,500 ETL workflows to GCP Dataproc across 5 global regions with zero downtime; trimmed roughly 20% in operational cloud compute spend through pipeline optimization.

Tech Stack: GCP Dataproc, BigQuery, Apache Airflow, Python, Scala, SQL, Bash.

Professional Experience (Continued)

Forward Deployed Solution Lead — HalliburtonJan 2021 – Mar 2022

Acted as client-facing technical lead coordinating 4 concurrent predictive analytics and workflow automation workstreams for energy operations.
Conducted hands-on process modeling, data schema mapping, and UX workflow specifications connecting field operations with backend predictive models.
Synchronized delivery between client operations teams, domain specialists, and internal data science squads.

Key Impact: Deployed process-mining models that surfaced logistical bottlenecks and reduced supply chain out-of-stock anomalies across field distribution hubs.

Tech Stack: GCP, Celonis, Sisense, SQL, Proprietary Workflow Engine.

Data Platform Modernization Lead — British American Tobacco (BAT)Mar 2019 – Apr 2020

Architected data consolidation pipeline extracting 14TB+ of distributed operational records into Snowflake data models for regional BI consumers.
Guided data modelers and ETL developers on performance tuning, partitioning strategies, and query speedups.

Tech Stack: WhereScape, Snowflake, GCP, SQL, Bash Shell.

GAPSO Computer Services — Software Engineering Manager & Systems Architect

Mar 2006 – Mar 2015

Belo Horizonte, MG, Brazil

Led an engineering department of 25 developers, architects, and QA engineers developing mission-critical logistics optimization platforms.
Architected distributed 3-tier enterprise Java systems and REST analytical services for industrial and energy clients (e.g., YPF Argentina, Vale).
Introduced automated build pipelines, test coverage standards, and formal engineering maturity practices (CMMI Level 3, MPS.br).

Key Impact: Architected the fleet and distribution optimization system for YPF, contributing to a 35% improvement in logistical scheduling efficiency.

Tech Stack: Java EE, Spring, Oracle, REST, CMMI Standards.

Foundational Engineering Roles

Olympya Information Technology (2004–2006): Systems Developer architecting client-server Java platforms.
DaimlerChrysler AG, Germany (2002): Research Engineer focused on real-time embedded control algorithms and hardware-in-the-loop testing.
Globosat Broadcast Project: Built streaming sentiment analysis pipeline evaluating high-volume social media streams with low end-to-end latency.

Education & Certifications

Education

PhD Studies in Real-Time Control Systems

Universität Ulm, Germany (2002–2004)

B.S. in Information Systems Engineering

Universidad Tecnológica Nacional, Argentina (1997–2002)

Certifications & Professional Training

AWS Certified Cloud Practitioner
AWS Partner Accreditation & GenAI Practitioner Workshops
Enterprise Architecture & Scaled Agile Leadership Training
Professional Leadership & Team Coaching (S&M Brazil)

Architecture & Delivery Highlights

Multi-Agent AI

Designed LangGraph & Pydantic AI workflows in production environments.

1,500 Pipelines

Migrated to GCP Dataproc for Walmart with zero live service disruption.

50+ PoCs & MVPs

Architected and scoped across enterprise clients during GenAI CoE leadership.

~20% Cloud Savings

Obtained via workload right-sizing and automated validation scripts.