Profile
Saliou Diallo.
AI Solution Architect.
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.
What I'm focused on next: 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.
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 · 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
Six capability clusters.
Pick a cluster to see what's inside.
Cluster · AI & GenAI Governance
AI & GenAI Governance
Policy, process, and tooling for safe enterprise AI delivery — from use-case intake to agentic system review.
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
2022 – Present · Dallas, TX
AT&T's Chief Data Office runs enterprise-wide data strategy, governance, and AI adoption. I design, operationalize, and scale the governance systems that decide how AI and GenAI get built and deployed across the business.
- Architected and maintained AT&T's enterprise AI governance framework, managing the full lifecycle of 100+ GenAI use cases from Permit-to-Build (P2B) through Permit-to-Operate (P2O).
- Built a cross-functional governance operating model across six risk domains (Legal, CSO, HR, Privacy, Compliance, Supply Chain), driving a 30% increase in GenAI use case submissions in one year.
- Designed fast-track approval pathways for low-risk, pattern-based use cases (Copilot, Ask Data, Ask Docs, AAW), standardizing routing logic and SLAs.
- Led governance strategy for agentic AI and AAW 2.0, co-authoring process documentation, P2B workflow requirements, and due diligence standards for multi-agent systems.
- Authored the enterprise AI Governance Playbook and Data+AI Dictionary — the definitive references for submission pathways, governance stages, and policy standards across AT&T.
- Developed Power BI dashboards and governance aging reports for 500+ AI use case statuses, improving senior leadership decision speed and accuracy by 30%.
- Drove the strategic migration from WatsonX.gov to AT&T's AI-Fueled Governance (AIFG) platform: transformation planning, stakeholder communications, continuity documentation.
- Co-led migration of 2,300+ AI use cases from a legacy IAM platform into IBM WatsonX.gov using phased data migration, mapping, and validation strategies.
- Coordinated Sev-1 escalations and platform outages (WatsonX/OpenPages) with IBM and internal teams, publishing service notices and recovery guidance.
- Acted as primary liaison between Business Units, Architecture, Platform owners, and international HR to ensure global regulatory alignment across AT&T's GenAI footprint.