AI Forward Deploy Engineer, Technology Lead

AT&T

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Dallas, TXAtlanta, GA
Salary
$200,000–$280,000 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday
Closes
Oct 17, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $196k
This role $240k
$125k most similar roles pay here $297k

This role pays more than 85% of similar roles. Most pay $162,000–$230,000 — the shaded band above. At the midpoint, this role pays about $240k versus about $196k 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 89 open roles on FindRole.

Listed pay typically runs $118,700–$216,703 across 83 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 move artificial intelligence from concept into production. 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. You will build prototypes, design architectures connecting AI platforms with existing applications, and develop custom integrations using cloud technologies, APIs, and data-integration methods. The primary focus is ensuring AI solutions function effectively within business environments by resolving integration issues, training users, and driving adoption. This role solves the challenge of integrating AI into daily workflows to achieve measurable improvements in operational outcomes. You will utilize your expertise in software engineering and solution architecture to bridge the gap between technical capabilities and practical business applications.

What you'll do

  • Translate complex business requirements into practical AI solution designs for operational workflows.
  • Build rapid prototypes and proofs of concept to validate proposed AI use cases.
  • Design solution architectures that connect AI platforms with existing applications, APIs, and data sources.
  • Build custom integrations and configure tools to ensure AI functions within current business environments.
  • Deploy AI solutions into production and resolve related technical, data, and integration issues.
  • Train users and operational teams on newly deployed AI capabilities and integrated workflows.
  • Measure solution effectiveness against defined business objectives to drive adoption and impact.

What we're looking for

  • Demonstrated experience in software engineering, solution engineering, or a similarly 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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