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Ai First Fullstack Engineer Jobs in Dallas, TX (NOW HIRING)

AI Engineer

Dallas, TX · On-site

$55 - $60/hr

AI-First Data Platforms Lead - Executive Summary Location: Dallas TX-Onsite * Own the enterprise ... Build and manage self-service database provisioning capabilities to accelerate engineering delivery ...

AI-First Data Platforms Lead Executive Summary Location: Dallas TX-Onsite Own the enterprise ... Build and manage self-service database provisioning capabilities to accelerate engineering delivery ...

About the Role McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest ...

AI Engineer

Dallas, TX · On-site

$55 - $60/hr

AI-First Data Platforms Lead - Executive Summary Location: Dallas TX-Onsite • Own the enterprise ... Engineering model. • Drive AI-powered automation for database provisioning, monitoring ...

AI-First Data Platforms Lead - Executive Summary Location: Dallas TX-Onsite • Own the enterprise ... Engineering model. • Drive AI-powered automation for database provisioning, monitoring ...

AI-First Data Platforms Lead - Executive Summary Location: Dallas TX-Onsite • Own the enterprise ... Engineering model. • Drive AI-powered automation for database provisioning, monitoring ...

About the Role McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest ...

AI-First Data Platforms Lead - Executive Summary Location: Dallas TX-Onsite • Own the enterprise ... Engineering model. • Drive AI-powered automation for database provisioning, monitoring ...

About the Role McKesson is seeking a Senior AI-First Full Stack Engineer to build the next generation of intelligent healthcare technology solutions supporting one of the nation's leading and fastest ...

Java Fullstack Developer

Irving, TX · On-site

$100 - $125/hr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive ...

Showing results 21-40

Ai First Fullstack Engineer information

See Dallas, TX salary details

$44K

$133.3K

$188.4K

How much do ai first fullstack engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai first fullstack engineer in Dallas, TX is $133,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,800.00 and $156,300.00 per year, depending on experience, location, and employer.

What is the difference between Ai First Fullstack Engineer vs Software Developer?

AspectAi First Fullstack EngineerSoftware Developer
Required CredentialsBachelor's in CS, AI/ML knowledge, coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentTech companies, startups, AI-focused teamsVarious industries, tech firms, startups
Industry UsageAI-driven projects, product developmentSoftware applications, web development
Common Search/ComparisonYesYes

The Ai First Fullstack Engineer specializes in integrating AI and machine learning into fullstack development, often requiring knowledge of AI frameworks. Software Developers focus on building software applications across various domains. While both roles require strong coding skills, the Ai First Fullstack Engineer emphasizes AI integration, making it distinct in AI-centric environments.

What are popular job titles related to Ai First Fullstack Engineer jobs in Dallas, TX?

For Ai First Fullstack Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Ai First Fullstack Engineer jobs in Dallas, TX look for?

The top searched job categories for Ai First Fullstack Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Ai First Fullstack Engineer jobs?

Cities near Dallas, TX with the most Ai First Fullstack Engineer job openings:

Infographic showing various Ai First Fullstack Engineer job openings in Dallas, TX as of September 2026, with employment types broken down into 6% Internship, 86% Full Time, and 8% Contract. Highlights an 63% In-person, and 37% Remote job distribution, with an average salary of $133,319 per year, or $64.1 per hour.

AI Engineer

Dallas, TX • On-site

Stefanini
IT Services • 10K+ employees

$55 - $60/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

AI-First Data Platforms Lead - Executive Summary

Location: Dallas TX-Onsite


• Own the enterprise database platform strategy, architecture, governance, and technology roadmap.

• Lead the transformation from traditional DBA operations to an AI-first Database Platform Engineering model.

• Drive AI-powered automation for database provisioning, monitoring, maintenance, performance tuning, and incident management.

• Build and manage self-service database provisioning capabilities to accelerate engineering delivery and reduce manual effort.

• Ensure database platforms are secure, scalable, resilient, highly available, and cost-efficient across on-premises and cloud environments.

• Lead database modernization, consolidation, migration, and cloud adoption initiatives.

• Establish standards, best practices, governance, and lifecycle management for enterprise database platforms.

• Implement observability, predictive monitoring, and AIOps capabilities to proactively prevent outages and improve reliability.

• Partner with Engineering, Infrastructure, Security, Architecture, and Application teams to deliver platform services and approved patterns.

• Drive adoption of Infrastructure-as-Code (IaC), DevOps, CI/CD, and Database-as-a-Service (DBaaS) capabilities.

• Ensure compliance, data protection, access controls, backup, recovery, and disaster recovery readiness.

• Mentor and develop database engineers while fostering a culture of automation, innovation, and operational excellence.

• Evaluate emerging database, AI, and cloud technologies to continuously improve platform capabilities.

• Optimize platform costs through standardization, automation, capacity planning, and resource utilization.


Business Impact

* Reduces operational risk through intelligent automation and standardized platforms.

* Improves performance, availability, reliability, and security of enterprise databases.

* Accelerates provisioning from days to minutes through self-service capabilities.

* Enhances compliance and governance while reducing manual administrative effort.

* Lowers long-term support and infrastructure costs through automation and platform rationalization.

* Enables engineering teams to move faster with AI-enabled platform services and expert guidance.

* Creates a scalable foundation that supports enterprise growth, cloud strategy, and future AI initiatives.

Key Success Measures

* Significant reduction in manual DBA effort through AI and automation.

* Faster database provisioning and deployment cycles.

* Improved uptime, reliability, and recovery capabilities.

* Reduced incident volume and Mean Time to Resolution (MTTR).

* Increased adoption of self-service database services.

* Lower total cost of ownership (TCO) through optimization and standardization