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Senior Ai Developer Jobs in Texas (NOW HIRING)

Collaborate with senior AI developers to implement enterprise AI standards and security best practices. Back-End & Integrations Development * Develop and support integrations using Workato, Python ...

Senior AI Engineer, Agentic Systems

Dallas, TX · On-site

$103K - $142K/yr

Senior AI Engineer, Agentic Systems Dallas, TX We are seeking a Senior AI Engineer, Agentic Systems to design, build, and operate production-grade agentic AI solutions for enterprise-scale use cases.

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Agentic AI Developer

Dallas, TX · On-site

$105 - $165/hr

Collaborate with senior AI developers to implement enterprise AI standards and security best practices.Back-End & Integrations DevelopmentDevelop and support integrations using Workato, Python ...

Senior Lead AI Developer Position Overview The Finance Technology AI Enablement team is seeking a Senior Lead AI Developer who can work independently and partner directly with business leaders and ...

Senior Lead AI Developer Position Overview The Finance Technology AI Enablement team is seeking a Senior Lead AI Developer who can work independently and partner directly with business leaders and ...

New

Senior .NET AI Developer

Austin, TX · On-site

$63 - $68/hr

Our client is currently seeking a Senior .NET AI Developer Location : On-site in Southlake, TX or Austin, TX Duration : 6 months with possibility of extension Minimum qualifications: Bachelor ...

Senior AI Engineer - SFL Scientific

Dallas, TX · On-site

$103K - $142K/yr

SysOps Administrator, DevOps Engineer, Solutions Architect) * 2+ years of experience with GPU ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

Senior AI Engineer - SFL Scientific

Houston, TX · On-site

$99K - $137K/yr

SysOps Administrator, DevOps Engineer, Solutions Architect) * 2+ years of experience with GPU ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

Senior AI Engineer - SFL Scientific

Austin, TX · On-site

$103K - $142K/yr

SysOps Administrator, DevOps Engineer, Solutions Architect) * 2+ years of experience with GPU ... Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists ...

Senior AI Architect

Dallas, TX · On-site

$203.75 - $280.16/hr

Senior AI Architect****o9 is restructuring its technology organization around purpose-built engineering groups, upgrading to modern tech stacks and AI-first software to drive a streamlined, R&D ...

Senior Java AI Developer

Austin, TX · On-site

$70 - $75/hr

Our client is currently seeking a Senior Java AI Developer Duration : 6 months with possibility of extenssion Location: Onsite in Austin, TX or Southlake, TX Minimum qualifications: Bachelor's degree ...

Senior AI Engineer

Austin, TX · On-site

$103K - $142K/yr

The Role We are seeking a hands-on Senior AI Engineer to join Cirrus Logic's centralized AI Core ... Knowledge of C/C++, Linux, developer tooling, code analysis, and secure software-development ...

Senior AI Engineer

Plano, TX · On-site

$110K - $185K/yr

Overview As a Senior AI Engineer specializing in Agentic AI enablement, you will lead the design and delivery of production-grade agent capabilities built on the enterprise AI Backbone across cloud ...

Senior AI Engineer

Plano, TX · On-site

$110K - $185K/yr

Overview As a Senior AI Engineer specializing in Agentic AI enablement, you will lead the design and delivery of production-grade agent capabilities built on the enterprise AI Backbone across cloud ...

Senior AI Engineer

Plano, TX · On-site

$110K - $185K/yr

Overview As a Senior AI Engineer specializing in Agentic AI enablement, you will lead the design and delivery of production-grade agent capabilities built on the enterprise AI Backbone across cloud ...

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

This role will help apply AI-assisted engineering across Enterprise Technology projects while ... Experience building developer-facing tools, templates, or internal platforms that help engineers ...

Senior AI Engineer

Dallas, TX · Hybrid

$103K - $142K/yr

This role will help apply AI-assisted engineering across Enterprise Technology projects while ... Experience building developer-facing tools, templates, or internal platforms that help engineers ...

Senior AI Engineer

Liberty, TX · On-site

$91K - $126K/yr

As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions ...

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions ...

Showing results 41-60

Senior Ai Developer information

What is a senior AI developer?

Senior AI Developers are experienced professionals who design, build, and implement artificial intelligence systems and solutions. They typically lead AI projects, mentor junior team members, and work on complex problems involving machine learning, deep learning, and data analysis. Their responsibilities also include collaborating with stakeholders, optimizing models for performance, and ensuring AI solutions align with business goals. Senior AI Developers usually have advanced knowledge of programming languages, frameworks, and best practices in AI development.

What are the key skills and qualifications needed to thrive as a senior AI developer?

To thrive as a Senior AI Developer, you need advanced skills in machine learning, deep learning, programming (Python, R, or Java), and a strong background in computer science or related fields, often supported by a bachelor's or master's degree. Expertise in frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms (AWS, Azure, or GCP) and relevant certifications are highly valued. Strong problem-solving, leadership, and effective communication skills help in collaborating across teams and translating complex technical concepts into business solutions. These capabilities are crucial for designing robust AI systems, driving innovation, and ensuring successful deployment in real-world applications.

What are some common challenges faced by senior AI developers when deploying models into production environments?

Senior AI Developers often encounter challenges such as ensuring model scalability and reliability, handling data drift, and integrating models with existing production systems. Balancing model performance with computational efficiency is crucial, as is maintaining compliance with data privacy regulations. Close collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver robust, maintainable AI solutions.

What is the difference between Senior Ai Developer vs Machine Learning Engineer?

AspectSenior Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models, algorithms, and applications; collaborates with data scientists and engineersDesigns, builds, and deploys machine learning models; often works in data-heavy environments
Employer & Industry UsageTech companies, research labs, AI-focused firmsTech companies, startups, data-driven industries

While both roles involve working with AI and machine learning, Senior Ai Developers focus more on creating and optimizing AI systems, whereas Machine Learning Engineers specialize in building scalable ML models and pipelines. The roles often overlap, but the Senior Ai Developer emphasizes AI application development, and the Machine Learning Engineer emphasizes deployment and data handling.

Which senior AI developer job is high paying?

Senior AI developer roles tend to be high paying in industries such as technology, finance, and healthcare, especially for those with expertise in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch. Salaries can vary based on location, company size, and individual skills, but senior positions often offer six-figure compensation packages.

What are the most commonly searched types of Ai Developer jobs in Texas?

The most popular types of Ai Developer jobs in Texas are:

What cities in Texas are hiring for Senior Ai Developer jobs?

Cities in Texas with the most Senior Ai Developer job openings:

Infographic showing various Senior Ai Developer job openings in Texas as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Agentic AI Developer

JPI

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 hours ago


Job description

About The Company

Built on a foundation of integrity, respect, and commitment, JPI stands out as one of the most active real estate developers and builders in the nation. For more than 35 years, JPI has designed and developed communities with best-in-class homes and amenities. JPI is committed to data-driven management and continuous improvement. Its team of experts utilizes data - including unparalleled market research, proven business processes, and proprietary models - to ensure that every decision is strategic, focused, and produces exceptional multifamily communities with the best risk-adjusted returns. More than just great communities, JPI is focused on leaving a lasting impact on the communities where we build and is continually committed to "Building What Matters." JPI operates as a subsidiary of Sumitomo Forestry, which is recognized as one of the largest home builders in the United States.


Why work for us?

We have a 35-year track record of developing multifamily communities with responsibility, accountability, and integrity. Our stated purpose is to:

  • Transform Building

  • Enhance Communities

  • Improve Lives

JPI has an ambitious and exciting vision for how we will achieve this, which makes for a positive and dynamic work environment, with many opportunities for personal development and growth. As well as our highly competitive offering of compensation and benefits, we are committed to:

  • Transformative careers in a transformative company

  • Comprehensive training and development

  • Promotion from within at all levels of the organization

  • Borderless Careers, based on performance, potential, and personal ambition

Industry Recognition

  • NMHC - #1 Fastest Growing Developer; #2 Fastest Growing Building; #8 Largest National Developer; # 11 Largest National Builder

  • Real Page - Most active multifamily developer in DFW for the past 8 years

  • Dallas Business Journal Best Places to Work - 2023

  • Dallas Business Journal - Largest DFW Real Estate Developers - #11

JPI offers associates a comprehensive benefits package with competitive salaries and more, including:

  • Competitive Bonus Program

  • 4 Weeks PTO for All New Associates (Pro-Rated by Hire Date)

  • 11 Holidays and 8 Early Release Days

  • Medical, Dental, Vision, and Life Insurance

  • 401(k) with Company Match (Up to 5% Match)

  • Health Savings Account

  • Flexible Spending Accounts (Dependent & Medical Reimbursement)

  • Paid Parental Leave

  • Paid Volunteer Time

  • Tuition Assistance

  • Phone Reimbursement

  • Associate Referral Bonuses

About the Job.
JPI has an exciting opportunity for an Agentic AI Developer to join the Applications and Integrations team within the Digital & IT organization in Dallas, TX.
As JPI continues to expand and modernize its AI and software development ecosystem, this role will play a key part in advancing our digital strategy and transforming building with a major focus on AI security, guardrails, and responsible AI governance. You'll have a unique opportunity to design, deliver, and lead practical agentic systems, AI-driven applications, RPA solutions, integrations, and automations that improve business processes and create meaningful impact across the company. The role has a focus on implementing and continually improving AI security, responsible guardrails, and monitoring practices to support safe and reliable adoption.
The Agentic AI Developer will deliver proprietary JPI agents, applications, and system integrations using platforms such as Workato, Oracle Cloud Infrastructure and complementary technologies. This role collaborates closely with technical and non-technical teams to architect and implement high value process improvements throughout the organization.

Essential Functions & Responsibilities

Agentic AI Development

  • Design, develop, test, and maintain agentic AI applications, AI-powered automations, and RPA solutions that improve business processes across JPI.

  • Implement security controls, policy-based guardrails, access controls, and monitoring capabilities to support the secure and responsible operation of AI agents.

  • Validate AI agent behavior through testing, prompt evaluation, logging, and monitoring to improve reliability, accuracy, and compliance.

  • Troubleshoot, optimize, and enhance existing AI agents based on operational performance, user feedback, and evolving business requirements.

  • Collaborate with senior AI developers to implement enterprise AI standards and security best practices.

Back-End & Integrations Development

  • Develop and support integrations using Workato, Python, Oracle Cloud, REST APIs, and related technologies.

  • Configure secure connections between enterprise applications and third-party platforms.

  • Create and maintain technical documentation for integration workflows, APIs, and agent configurations.

  • Monitor the performance of AI agents and system integrations, identifying opportunities to improve scalability, reliability, security, and overall performance.

Solution Architecture & Development

  • Contribute to the development of secure, scalable AI and integration solutions following established architectural standards.

  • Translate business requirements into technical specifications and development tasks.

  • Build new functionality and enhance existing applications while following secure coding and AI governance practices.

  • Participate in testing, validation, and deployment activities to ensure successful production releases.

Agile Sprint Methodology

  • Participate in Agile ceremonies including sprint planning, stand-ups, retrospectives, and backlog refinement.

  • Collaborate with cross-functional teams to deliver user stories and AI capabilities on schedule.

  • Participate in peer code reviews and incorporate feedback to improve code quality and maintainability.

  • Continuously expand knowledge of agentic AI frameworks, AI security, and emerging technologies.

Collaboration & Strategy

  • Partner with business stakeholders to understand automation opportunities and translate requirements into AI-enabled solutions.

  • Support adoption of agentic AI solutions by assisting with user training, documentation, and knowledge sharing.

  • Work with UI developers, architects, and integration engineers to ensure AI solutions align with enterprise standards.

  • Promote responsible AI practices by helping implement governance, security, and compliance requirements across AI solutions.

Non-essential Functions & Responsibilities

  • Other duties as assigned.

Education, Work Experience, & Physical Requirements

Required Qualifications

  • 3+ years of professional software development experience.

  • 1+ year of Agentic AI development experience.

  • 1+ year implementing AI security controls, safety guardrails, access boundaries, validation checks, and monitoring practices for AI or agentic systems.

  • 1+ year experience with RAG and Vector Stores/Databases.

  • 1+ years of experience with Python, Node.js and/or React.

  • 1+ years of experience working with cloud platforms or iPaaS tools.

  • 1+ years of experience integrating with REST APIs.

  • Strong understanding of integration patterns and architecture.

  • Excellent problem-solving skills and a proactive, collaborative mindset.

  • Comfortable working in Agile environments.

Preferred Qualifications

  • Experience with any of LangGraph, LangGraph, MCP, RPA and Agent Harness

  • Experience with Workato.

  • Familiarity with any of Workday, BuildingConnected, Procore, Airtable, Oracle Primavera Cloud, Oracle Cloud Infrastructure, Fabric, Power Platform, and Azure.

  • Experience with SQL databases

  • Experience with GitLab