Luber Guilarte-Hay - Enterprise AI ML Cloud Infrastructure Automation Architect

Professional Summary

Hands-on AI and Multi-Cloud Architect with over 12 years of enterprise IT leadership and 8+ years of dedicated cloud expertise building scalable application frameworks, hybrid AWS and Azure enterprise environments, microservices, and distributed automation systems. Specialized in designing the software architectures required to productionize enterprise AI, including Large Language Model (LLM) integrations, Retrieval Augmented Generation (RAG) pipelines, autonomous AI agent orchestration workflows, contextual retrieval systems, and multi-cloud AI automation platforms.

Expert in Python, serverless compute, microservices, and distributed orchestration utilizing AWS native services alongside core Azure infrastructure. Advanced hands-on command of API Gateway, Lambda, ECS Fargate, Amazon EKS, Step Functions, EventBridge, OpenSearch, and Azure Cosmos DB vector architectures. Proven track record building reusable AI application services, enterprise API integrations, LLM tool calling workflows, MCP (Model Context Protocol) integrations, and developer enablement platforms.

Certifications

• AWS Certified Solutions Architect Professional

• AWS Certified Generative AI Developer Professional

• Microsoft Certified Azure Solutions Architect Expert

• ITIL Foundation Certified

Education

Master of Science in Computer Science - Focus on Machine Learning & AI | In Progress, Western Governors University

Bachelor of Science in Computer Science - Completed 2022, Western Governors University

Technical Skills Matrix

AI / LLM Engineering

Azure AI Foundry, Azure OpenAI Service, Amazon Bedrock, Bedrock Agents, RAG Architectures, LangGraph, LangChain, MCP, Prompt Engineering, Tool Calling

Cloud Compute

AWS Lambda, Azure Functions, ECS Fargate, Amazon EKS, Azure AKS, App Services, Docker, Step Functions, EventBridge, SQS, Service Bus

Networking & Security

API Gateway, ALB/NLB, GWLB, VPC, Transit Gateway, ExpressRoute, Direct Connect, Identity Federation, OAuth 2.0, Azure Entra ID

Vector DBs & Search

Amazon OpenSearch, Azure Cosmos DB Vector, Azure AI Search, Vector Indexing, Semantic Search Patterns

Infrastructure as Code

Terraform, AWS CDK, CloudFormation, Bicep, GitHub Actions, Well-Architected Frameworks

Programming & Data

Python, Boto3, Azure SDK, RESTful APIs, AWS Glue, Athena, Data ETL Pipelines, Microservices

Professional Experience

Senior AI Cloud Architect

Credence (DoD Contractor)

October 2024 – Present

Architect enterprise AI systems leveraging multi-cloud deployments across LLMs, Amazon Bedrock, Azure OpenAI, OpenSearch vector search, and distributed microservices. Designed advanced state-driven agent architectures utilizing LangGraph and Azure AI Foundry for complex tool calling sequences and deterministic cyclic routing. Architected secure file ingestion gateway using AWS Transfer Family with Lambda authentication and LDAP integration for multi-tenant storage isolation. Built containerized distributed AI systems on Amazon EKS and Azure AKS supporting LLM pipelines and event-driven automation workflows. Established Infrastructure as Code governance with Terraform and GitHub Actions for unified multi-cloud deployments.

Principal AI Cloud Architect

CHOC Children's Hospital

January 2023 – September 2024

Executed major network migration from legacy Transit VPC to modern AWS GWLB architecture with active-active Palo Alto firewalls. Designed enterprise AI workflow architectures for healthcare data orchestration using Azure AI Services and Amazon Bedrock. Modernized legacy environments into Kubernetes-based microservices on EKS/AKS. Built Agentic AI orchestration frameworks using Azure AI Foundry and LangGraph. Implemented zero-trust access controls using Azure AD and OIDC authentication across hybrid environments.

Senior AWS Cloud Architect

ECSTECH (DoD Contractor)

October 2020 – December 2022

Centralized enterprise cloud networking using Transit Gateway and DX Gateway with secure multi-account AWS landing zones. Designed and delivered automated Infrastructure as Code blueprints using Terraform and AWS CDK. Built automated log aggregation and threat detection pipelines using CloudWatch, Kinesis, and OpenSearch. Developed reusable ETL frameworks using Lambda and Step Functions for distributed operational data processing. Supported enterprise security compliance and automated vulnerability remediation across multi-region workloads.

Senior Network Engineer

Loews Corporation

October 2016 – July 2019

Led initial AWS cloud adoption, designing foundational VPC, EC2, and RDS environments using CloudFormation. Developed modular infrastructure provisioning using Terraform to automate cloud environment setups. Built hybrid network architectures using Direct Connect, VPN, and BGP routing between on-premises and AWS. Supported enterprise migration from legacy infrastructure into cloud environments.

Network Engineer

Converged Technology Group (Promenet Inc)

February 2013 – September 2016

Delivered enterprise Cisco routing, switching, and high-availability network infrastructure solutions for regulated industries. Configured and optimized Cisco Catalyst and Nexus switches using OSPF, BGP, EIGRP, and spanning tree protocols. Engineered secure site-to-site IPSec VPN tunnels and hybrid connectivity across enterprise environments using Cisco ASA firewalls and ISR routers. Supported complex multi-tenant high-availability architecture designs for financial and legal clients.

Key Strengths & Value Proposition

Enterprise AI Cloud Architecture – Highly proficient across AWS, Azure, Kubernetes, EKS, and AKS ecosystems. Enterprise AI Orchestration – Advanced implementation of Azure AI Foundry, Azure OpenAI, and Bedrock Agents. High Availability Networking – Expertise in GWLB, Palo Alto, ExpressRoute, Transit Gateway topologies. Agentic AI Systems – Production experience with LangGraph cyclic routing and contextual memory. Secure Infrastructure – Multi-tenant data isolation, Azure Entra ID, OIDC federation, Zero Trust architectures. Infrastructure as Code Governance – Reusable enterprise pipelines using Terraform and AWS CDK. Technical Leadership – Proven ability to lead cross-functional teams and align technical roadmaps with enterprise goals.