AI Forward Deploy Engineer, Technology Lead

AT&T

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Atlanta, GADallas, TX
Salary
$200,000–$280,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday
Closes
Oct 17, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $240k
$121k most similar roles pay here $297k

This role pays more than 88% of similar roles. Most pay $162,000–$222,000 — the shaded band above. At the midpoint, this role pays about $240k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About AT&T

AT&T is a US-based telecommunications company providing wireless, broadband, and fiber internet service along with phone and connectivity products for consumers and businesses.

AT&T currently has 65 open roles on FindRole.

Listed pay typically runs $120,200–$220,946 across 59 roles with salary data.

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View all roles at AT&T

At a glance

TL;DR · AI Forward Deploy Engineer, Technology Lead

The AI Forward Deploy Engineer - Technology Lead joins the team at the intersection of engineering, consulting, and business transformation to integrate artificial intelligence into real-world operations. This role involves partnering with business leaders and technical stakeholders to identify high-impact opportunities, conduct discovery sessions, and translate complex requirements into practical solution designs. The engineer will build prototypes, design architectures connecting AI platforms with existing systems, and develop custom integrations to ensure seamless production deployment. Key responsibilities include configuring tools, troubleshooting integration issues, training users, and measuring operational impact. The role requires expertise in software engineering, cloud technologies, AI platforms, APIs, and data-integration methods. This position solves the challenge of moving AI from conceptual stages into functional, scalable capabilities that drive measurable improvements in business processes and organizational workflows across various technical environments.

What you'll do

  • Conduct discovery sessions to identify high-impact AI opportunities and understand operational workflows.
  • Translate complex business requirements into practical AI solution designs and technical architectures.
  • Build rapid prototypes and proofs of concept to validate proposed use cases.
  • Develop custom integrations to connect AI platforms with existing applications, APIs, and data sources.
  • Deploy AI solutions into production environments and resolve related technical or integration issues.
  • Train users and operational teams on newly deployed AI capabilities and workflows.
  • Measure solution effectiveness against defined business objectives to ensure measurable improvements in outcomes.
  • Drive user adoption and communicate project progress and value to executive stakeholders.

What we're looking for

  • Demonstrated 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 business requirements into functional technical designs.
  • Strong stakeholder management, consulting, and executive communication skills.
  • Experience supporting user training, technology adoption, or business-process transformation.
  • Experience deploying AI/ML solutions in large-scale environments or working with enterprise AI platforms (preferred).

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