AI Deployment & Adoption Engineer

AT&T; Town of Texas (WI); On-site; USD 120,000 - 180,000; Full time

Job summary

AT&T is seeking a highly technical and business-oriented AI Forward Deploy Engineer to bring AI solutions into real-world business operations. You will partner with leaders, operations teams, customers, and technical stakeholders to understand challenges, prototype solutions, and deploy scalable capabilities into production environments.

You will translate business requirements into technical designs, address integration challenges, train users, and drive adoption across the organization.

Qualifications

• Experience in software engineering, solution engineering, or a similar technical role.
• Hands-on experience deploying technical solutions into production environments.
• Knowledge of cloud technologies, AI platforms, APIs, and data-integration methods.
• Experience designing or implementing integrations across applications, platforms, and data sources.
• Ability to rapidly build prototypes and translate concepts into functional technical solutions.
• Strong understanding of solution architecture and production deployment principles.
• Ability to troubleshoot and resolve complex technical and integration issues.
• Experience gathering requirements and analyzing operational workflows.
• Strong stakeholder-management and consulting capabilities.
• Ability to translate business needs into practical technical designs and implementation plans.
• Strong executive communication and presentation skills.
• Ability to explain complex AI and technical concepts to both technical and nontechnical audiences.
• Experience supporting user training, technology adoption, or business-process transformation.
• Ability to work effectively across engineering, operations, business, and customer-facing teams.

Responsibilities

• Partner with business leaders, operations teams, customers, and technical stakeholders to identify high-impact AI opportunities.
• Conduct discovery sessions to understand operational workflows, business challenges, technical environments, and desired outcomes.
• Translate complex business requirements into practical AI solution designs.
• Rapidly build prototypes and proofs of concept to validate proposed use cases.
• Design solution architectures that connect AI platforms with existing business applications, systems, APIs, and data sources.
• Configure AI tools and platforms to support specific operational requirements.
• Build custom integrations that enable AI solutions to function within existing business environments.
• Deploy AI solutions into production and support their successful operational implementation.
• Identify and resolve technical, data, platform, and integration issues.
• Work across software engineering, cloud, AI platform, API, and data-integration technologies.
• Partner with cybersecurity and other operational leaders to understand specialized business processes and technical requirements.
• Train users and operational teams on newly deployed AI capabilities.
• Communicate solution value, technical considerations, implementation progress, and business outcomes to executive stakeholders.
• Support process transformation by helping teams incorporate AI into their daily workflows.
• Measure solution effectiveness and evaluate progress against defined business objectives.
• Drive user adoption and promote the sustained use of deployed AI solutions.
• Provide hands-on technical guidance throughout the discovery, design, prototyping, integration, deployment, and adoption lifecycle.

Skills

Software engineering

Solution engineering

Cloud technologies

APIs

Data integration

Prototype development

Production deployment

Stakeholder management

Executive communication

Training users

Tools

APIs

Cloud platforms

Data integration

Job description

AT&T is seeking a highly technical and business-oriented AI Forward Deploy Engineer to bring AI solutions into real-world business operations. You will partner with leaders, operations teams, customers, and technical stakeholders to understand challenges, prototype solutions, and deploy scalable capabilities into production environments.

You will translate business requirements into technical designs, address integration challenges, train users, and drive adoption across the organization.