SALIOU DIALLO

Architect enterprise AI and Generative AI solutions across AT&T, partnering with business, engineering, and risk organizations to design scalable, compliant AI capabilities at one of the world's largest telecommunications companies.

• Architect enterprise AI and Generative AI solutions, partnering with business, engineering, and risk organizations to design scalable, compliant AI capabilities across AT&T.
• Led architecture reviews and technical assessments for 100+ AI and GenAI initiatives, validating solution designs, platform selection, data flows, integration patterns, and deployment readiness.
• Architected AI-Fueled Governance (AIFG), an AI governance platform that uses pattern-based approvals, intelligent routing, automation, and agent-assisted workflows to scale enterprise AI adoption.
• Built automated workflows and governance processes that increased GenAI use case throughput by 30% while reducing manual review effort and approval bottlenecks.
• Co-led migration of 2,300+ AI use cases to IBM WatsonX.gov, designing data mapping, validation, and migration frameworks that ensured data integrity and operational continuity.
• Built enterprise reporting and analytics solutions with Power BI, APIs, SQL, and automation workflows, giving leadership live visibility into AI adoption, governance lifecycle metrics, and operational performance.
• Developed enterprise AI governance tooling, playbooks, and reusable architecture patterns that accelerated deployment of approved AI platforms including M365 Copilot, Ask AT&T, Ask Data, Ask Docs, and Agentic AI solutions.
• Defined architecture and governance standards for emerging technologies including Agentic AI, AI Assistants, Retrieval-Augmented Generation (RAG), and multi-agent workflows.
• Collaborated with software engineering, platform, cloud, security, privacy, and compliance teams to design production-ready AI solutions aligned with enterprise architecture standards.
• Led cross-functional initiatives spanning architecture, automation, data engineering, governance, and platform modernization to improve scalability, transparency, and operational efficiency across AT&T's AI ecosystem.

Selected for AT&T's competitive Technology Development Program (TDP), supporting network engineering, analytics, automation, and infrastructure modernization across wireless and fiber networks.

• Developed Python-based automation within Ericsson Network Manager (ENM) to analyze network performance, generate cell status reports, and improve visibility across large-scale wireless infrastructure.
• Designed data extraction and analytics workflows in Python and SQL that turned network and operational data into reporting for engineering and leadership teams.
• Consolidated multiple departmental reporting solutions into a unified analytics platform, improving access to real-time operational metrics and reducing reporting fragmentation.
• Performed 5G network planning and optimization in Atoll, using predictive modeling and live network performance data to support wireless capacity and expansion initiatives.
• Conducted radio frequency (RF) engineering analysis and testing at AT&T Stadium to evaluate network performance, RF exposure monitoring, and operational readiness of wireless infrastructure.
• Used GIS and spatial analysis tools to support network planning, infrastructure deployment strategies, and geographic performance assessments across high-priority markets.
• Built a cybersecurity proof of concept identifying Sensitive Personal Information (SPI) within enterprise databases using Python, SQL, and Regular Expressions.
• Led innovation initiatives through AT&T's Innovation Rewards Program, coordinating stakeholders and technical reviews for infrastructure improvement concepts submitted for patent evaluation.

AECOM — Civil Engineer, EIT #70700Dallas, TX · 2018 – 2022

Engineer-in-Training on major Texas and Georgia Department of Transportation projects across a $1.6B+ project portfolio: roadway design, drainage analysis, and large-scale infrastructure planning.

• Contributed to the IH-635 LBJ Design-Build project: a $1.6B reconstruction across 3 segments, 70 bridges, 18 grade separations, 170 retaining walls, and 4 railroad crossings.
• Performed alignment/profile design, sight distance calculations, and driveway geometry analysis for the SR 20 Corridor Widening project (Georgia DOT).
• Conducted a Preliminary Drainage Study for the I-20/US 84 Interchange (Nolan County, TX): drainage area delineation, peak runoff computations, hydraulic analysis, and FEMA flood map integration.
• Developed proposed roadway schematics and typical sections (lane counts, median widths, clear zones, ROW limits) in Geopak and MicroStation for multiple TxDOT districts.
• Estimated earthwork volumes, material quantities, and costs to support planning and budget development across concurrent projects.
• Used AutoTurn to calculate and verify vehicular turn movements on complex corridor designs.
• Received the Make-A-Difference (MAD) Award (2020) for contributions to the IH-635 LBJ East Project.