About
Saliou Diallo
Architecting Responsible AI Systems at Enterprise Scale.
I'm an AI Solution Architect at AT&T's Chief Data Office. I design and operationalize enterprise-scale AI and Generative AI governance at one of the world's largest telcos. My work sits at the intersection of solution architecture, AI policy, data engineering, and cross-functional program leadership.
My path here is unconventional, and I think that's my edge. I started as a civil engineer, spending four years at AECOM designing roadway infrastructure across Texas and Georgia: $1.6B highway projects, drainage systems, interchange schematics. That foundation never left me. I just applied it to a different kind of infrastructure.
I went back to school for an MS in Analytics (Computational Data) at Georgia Tech. Now I lead AI governance at AT&T: 100+ GenAI use cases, fast-track pathways, risk mitigation, Power BI dashboards for senior leadership, agentic AI oversight, and the migration to AI-fueled governance platforms.
Current focus: architecting enterprise AI systems that combine cloud, GenAI, governance, and business strategy; building real-world AI products on Azure, LLMs, agents, and RAG architectures; and helping organizations adopt AI responsibly to drive long-term impact.
AT&T AI governance
AECOM civil infrastructure
SMU civil engineeringThe arc
How I got here.
Civil Engineer
AECOM · $1.6B Texas & Georgia infrastructure
Network / Data Engineer
AT&T TDP · 5G, analytics, automation
AI Solution Architect
AT&T CDO · enterprise GenAI at scale
Enterprise AI Architect
Where I'm headed next
Education
Where I trained.
CompletedMaster of Science
Georgia Institute of Technology
2023 – 2025
Analytics (Computational Data Analytics track)
- Machine learning, statistical modeling, deep learning, optimization, NLP, data mining, large-scale analytics.
- Bayesian statistics, time series, simulation, predictive modeling, business analytics.
- Practicum on applying analytics to real-world business and engineering challenges.
CompletedBachelor of Science
Southern Methodist University
2015 – 2017
Civil Engineering
- Structural, transportation, environmental, and geotechnical engineering.
- Ellisor & Tanner Civil and Environmental Engineering Award (2016–2017) for cable-stay bridge design analysis.
- North Texas Community College Scholarship — full tuition to 10 transfer students across the Dallas area.
Awards
Recognition.
Make-A-Difference (MAD) Award
AECOM · 2020
Leadership and contributions to the IH-635 LBJ East Project.
Ellisor & Tanner Civil & Environmental Engineering Award
SMU · 2016–2017
Excellence in design for a cable-stay bridge analysis in Mobile, Alabama.
North Texas Community College Scholarship
SMU · 2015–2017
Full tuition scholarship awarded to 10 transfer students across six Dallas-area college districts.
Muse Scholar · DCCCD STEM Scholar · Bill J. Priest Scholar
2012–2015
Merit-based scholarships for academic achievement and leadership.
Certifications
Active credentials.
Engineer In Training (EIT)
Texas Board of Professional Engineers and Land Surveyors · ID 70700
Certified SAFe 5 Agilist
Scaled Agile, Inc. · ID 11991949-5682
Microsoft Azure Fundamentals (AZ-900)
Microsoft
Programming for Data Science with Python
Udacity
Python for Data Science and AI
IBM via Coursera
Power BI
IBM via Coursera
DevOps Fundamentals
IBM via Coursera
Cloud Computing
IBM via Coursera
Linux
IBM via Coursera
Skills
Capability clusters.
Pick a cluster to see what's inside.
Cluster · AI & Generative AI
AI & Generative AI
Designing and governing enterprise GenAI, from agents and RAG to responsible-AI standards.
Career
Four jobs in nine years.
Pick a station on the left for the full story.
Station 01 · AT&T · Chief Data Office
AI Solution Architect
2024 – Present · Dallas, TX
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 telcos.
- 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.