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Data & AI Solutions Architect

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: AT&T
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), AI Business & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 155000 - 261000 USD Yearly USD 155000.00 261000.00 YEAR
Job Description & How to Apply Below

This is a full-time onsite role based in the location(s) posted and is performed from the designated work location five days per week. No relocation is offered.

AT&T will not hire any applicants for this position who require employer sponsorship now or in the future.

Key

Roles and Responsibilities
  • Serve as a Solutions architect within the CDO Data & AI Architecture organization, providing architecture leadership across enterprise data, analytics, AI/ML, Generative AI, and strategic platform initiatives.
  • Define and maintain target-state architectures, enterprise reference architectures, architecture principles, Solution Intents (SI) and technology roadmaps supporting AT&T's data and AI strategy.
  • Lead solution architecture reviews for major initiatives to ensure alignment with enterprise standards, security requirements, governance policies, and long-term strategic direction. Be part of ATS Collective.
  • Partner with business, product, engineering, security, infrastructure, and platform teams to translate business capabilities and use cases into scalable, reusable enterprise solutions.
  • Drive architecture decisions and technology assessments for strategic platforms supporting data engineering, analytics, AI, GenAI, agentic AI, automation, and digital transformation initiatives.
  • Establish and govern enterprise architecture patterns for data platforms, knowledge management, AI applications, integration frameworks, APIs, event-driven architectures, and cloud-native solutions.
  • Lead platform and vendor evaluations, proof-of-concepts, and technology selection activities, providing recommendations based on business value, architecture fit, scalability, security, operational readiness, and total cost of ownership.
  • Support enterprise modernization efforts, including migration from legacy platforms, application rationalization, platform consolidation, and adoption of emerging technologies.
  • Define architecture guardrails and governance processes for responsible AI, data governance, security, privacy, compliance, and risk management.
  • Collaborate with Enterprise Architecture, Cybersecurity, Cloud Engineering, and Technology Strategy teams to ensure enterprise-wide alignment across platforms and solutions.
  • Provide architecture leadership for strategic initiatives involving cloud platforms, data ecosystems, AI platforms, agent frameworks, retrieval architectures, knowledge platforms, and enterprise automation capabilities.
  • Author architecture standards, solution patterns, technology recommendations, and executive-level architecture presentations for senior leadership and governance forums.
  • Mentor architects, engineers, and delivery teams while promoting architecture best practices, reusable patterns, and technology standards across the organization.
  • Act as a trusted advisor to technology and business leadership on platform strategy, technology investments, innovation opportunities, and enterprise transformation initiatives.
  • Experience with cloud platforms including Azure, AWS, and Google Cloud Platform.
  • Experience with API management, event-driven architectures, enterprise integration patterns, and microservices.
  • Experience with GenAI platforms such as Azure OpenAI, Copilot ecosystem, Agent frameworks, Retrieval-Augmented Generation (RAG), vector databases, and knowledge platforms.
Preferred Qualifications
  • 10+ years of experience in Enterprise Architecture, Solution Architecture, Data Architecture, Cloud Architecture, or Software Engineering leadership roles.
  • Strong experience developing enterprise reference architectures, target-state technology roadmaps, and architecture governance processes.
  • Deep understanding of enterprise data ecosystems, AI/ML platforms, Generative AI, Agentic AI, knowledge management, and modern cloud architectures.
  • Experience evaluating and governing enterprise platforms such as Databricks, Snowflake, Palantir, Microsoft Fabric, AI platforms, cloud-native services, and related technology ecosystems.
  • Proven ability to lead cross-functional architecture initiatives involving business stakeholders, engineering organizations, security teams, and executive leadership.
  • Experience supporting enterprise technology modernization, platform consolidation, cloud transformation, and AI adoption strategies.
  • Strong executive communication, stakeholder management, and strategic planning skills.

Our Principal Solution Architecture jobs earn between $ - $ USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual…

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