Data & AI Solutions Architect

AT&T•Alpharetta, GA
•$155,400 - $261,100•Onsite

About The Position

AT&T is hiring a full-time, onsite Data & AI Solutions Architect within its CDO Data & AI Architecture organization. The role provides architecture leadership across enterprise data, analytics, AI/ML, Generative AI, and strategic platform initiatives. The architect defines target-state and enterprise reference architectures, principles, Solution Intents, and technology roadmaps aligned with AT&T’s data and AI strategy, and leads architecture reviews to ensure initiatives meet enterprise standards, security requirements, governance policies, and strategic goals. The role partners with business, product, engineering, security, infrastructure, and platform teams to translate business capabilities and use cases into scalable, reusable enterprise solutions. It drives architecture decisions, technology assessments, platform and vendor evaluations, proof-of-concepts, and recommendations, while supporting modernization, legacy migration, application rationalization, platform consolidation, and adoption of emerging technologies. The architect establishes architecture patterns and guardrails for data platforms, knowledge management, AI applications, integration, APIs, event-driven architectures, cloud-native solutions, responsible AI, data governance, security, privacy, compliance, and risk management. The position collaborates with enterprise architecture, cybersecurity, cloud engineering, and technology strategy teams; authors standards, patterns, recommendations, and executive presentations; mentors architects, engineers, and delivery teams; and advises technology and business leaders on platform strategy, investments, innovation, and transformation. The position is onsite five days per week at a designated work location in Alpharetta, Georgia, or Plano, Texas. Relocation is not offered. Applicants requiring employer sponsorship now or in the future will not be hired for this position.

Requirements

  • 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 Generative AI platforms and technologies, including Azure OpenAI, the Copilot ecosystem, agent frameworks, Retrieval-Augmented Generation (RAG), vector databases, and knowledge platforms.
  • Applicants must not require employer sponsorship now or in the future.

Nice To Haves

  • 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.

Responsibilities

  • Provide 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, 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 strategic direction.
  • 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 platforms supporting data engineering, analytics, AI, GenAI, agentic AI, automation, and digital transformation.
  • 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, recommending options based on business value, architecture fit, scalability, security, operational readiness, and total cost of ownership.
  • Support modernization efforts, including legacy-platform migration, 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.
  • Provide architecture leadership for initiatives involving cloud platforms, data ecosystems, AI platforms, agent frameworks, retrieval architectures, knowledge platforms, and enterprise automation.
  • Author architecture standards, solution patterns, technology recommendations, and executive-level presentations for senior leadership and governance forums.
  • Mentor architects, engineers, and delivery teams and promote architecture best practices, reusable patterns, and technology standards.
  • Advise technology and business leadership on platform strategy, technology investments, innovation opportunities, and enterprise transformation initiatives.

Benefits

  • Medical, dental, and vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid time off and holidays, including at least 23 vacation days each year and 9 company-designated holidays, based on date of hire
  • Paid parental leave
  • Paid caregiver leave
  • Additional sick leave may be available beyond what state and local law require; this leave is unprotected
  • Adoption reimbursement
  • Short-term and long-term disability benefits
  • Life and accidental death insurance
  • Supplemental benefits, including critical illness, accident hospital indemnity, and group legal programs
  • Employee Assistance Programs (EAP)
  • Employee wellness programs
  • Employee discounts of up to 50% on eligible AT&T mobility plans and accessories, AT&T internet and fiber where available, and AT&T phone
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