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Ai Agent Developer Jobs in Texas (NOW HIRING)

Senior Backend Engineer (AI Agent)

Austin, TX · On-site +1

$116K - $195K/yr

As a Senior Backend Engineer specializing in AI agents, you will design the agents themselves: orchestration, sub-agent architecture, tool integration, prompt engineering, and - critically - the ...

... multi-agent orchestration workflows · Enable agents to interact with enterprise systems (APIs ... Vertex AI Agent Builder and Google ADK for agent development LLM, RAG & Context Engineering · ...

Future Secure AI is building innovative solutions in the AI space, seeking AI Engineers to develop ... Future Secure AI develops secure, bespoke AI Co-Workers and multi-agent systems for complex ...

As an AI Developer, you will be responsible for developing artificial intelligence solutions that ... Proven track record of creating AI agent workflows * Strong problem-solving skills and attention to ...

Maverick Power is standing up a dedicated AI build team to make Quote-to-Cash dramatically faster ... As a GenAI Chat Developer, you'll build the conversational interface at the heart of this effort: a ...

AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and ...

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W2 or 1099 1. AI Cloud Security Engineer AWS Bedrock Security Guardrails CrowdStrike AIDR & AI Agent Security GenAI / Agentic AI Security LLM Security, Prompt Injection & Data Leakage CI/CD ...

New

Python AI Developer

Dallas, TX · On-site

$90 - $120/hr

AI Agent Integration Implement and orchestrate autonomous and semi-autonomous AI agents, connecting ... Architect and implement systems for dynamic context management, memory, and prompt engineering to ...

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Showing results 41-60

Ai Agent Developer information

See Texas salary details

$27K

$44.7K

$92.7K

How much do ai agent developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai agent developer in Texas is $44,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $47,500.00 per year, depending on experience, location, and employer.

What is an AI agent developer?

An AI Agent Developer designs, builds, and optimizes intelligent software agents that can autonomously perform tasks, make decisions, and interact with users or other systems. This role involves working with machine learning, natural language processing, reinforcement learning, and multi-agent systems to create adaptive and efficient AI solutions. Developers in this field often utilize frameworks like LangChain, AutoGPT, or OpenAI API to enhance agent capabilities. Their work spans various industries, including customer service automation, finance, gaming, and robotics.

What are some common challenges faced by AI agent developers in their daily work?

AI Agent Developers often encounter challenges such as managing large and complex datasets, optimizing agent performance, and ensuring models behave ethically and reliably in unpredictable environments. It’s common to iterate frequently on prototypes, test against edge cases, and fine-tune algorithms based on real-world feedback. Collaboration with data scientists, software engineers, and stakeholders is crucial to understand project goals and adapt solutions accordingly. Overcoming these challenges requires technical flexibility, persistence, and a strong teamwork mindset.

What are the key skills and qualifications needed to thrive in the AI agent developer position, and why are they important?

To thrive as an AI Agent Developer, you need strong programming skills (particularly in Python), a deep understanding of machine learning concepts, and a relevant degree in computer science or a related field. Expertise with AI development frameworks (such as TensorFlow, PyTorch, or OpenAI Gym), cloud platforms, and potentially certifications in AI or data science are common requirements. Creative problem-solving, effective teamwork, and strong communication skills help distinguish top performers in this role. These competencies are essential to designing, implementing, and refining intelligent agents that function reliably in real-world applications.

How to become an AI agent developer?

To become an AI agent developer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of AI concepts such as natural language processing and reinforcement learning. Gaining relevant education through degrees or online courses and building a portfolio of AI projects can also enhance your qualifications.

Is an AI Agent Developer a good career?

An AI Agent Developer is a promising career path in the technology industry, focusing on creating intelligent systems that can perform tasks autonomously. It typically requires skills in programming, machine learning, and AI frameworks, with strong job growth prospects due to increasing demand for automation and AI solutions. The role offers opportunities for innovation and specialization in emerging technologies.

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

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

What are popular job titles related to Ai Agent Developer jobs in Texas?

For Ai Agent Developer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Agent Developer jobs in Texas look for?

The top searched job categories for Ai Agent Developer jobs in Texas are:

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

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

Infographic showing various Ai Agent Developer job openings in Texas as of August 2026, with employment types broken down into 5% Internship, 70% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $44,655 per year, or $21.5 per hour.

Staff Software Engineer, Data Engineering - Identity & AI Agent Governance

Ping Identity

Austin, TX

$132K - $170K/yr

Full-time

Posted 13 days ago


Job description

The Ping Identity Data Platform team is building the next generation of enterprise AI governance capabilities to enable secure, scalable, and responsible adoption of AI agents. The team is evolving governance frameworks, platforms, and operational processes to manage AI agents across the enterprise, addressing key areas such as security, compliance, identity, risk management, and responsible AI.

As a Staff Engineer our Data Platform team, you will help define and implement capabilities for agent discovery, lifecycle governance, policy enforcement, observability, and secure integration of AI agents, tools, MCP servers, and enterprise resources. You will work on taking governance concepts from design to reality in a fast-paced, collaborative, cross-functional environment, partnering with engineering, security, compliance, and product teams to shape the future of AI adoption.

You Will:
  • Design, develop, and maintain AI agent governance capabilities across AI platforms like Amazon Bedrock, Google Vertex AI, Microsoft Copilot, Azure AI Foundry etc.
  • Rapidly prototype and iterate on AI agent capabilities, continuously evaluating and adopting new frameworks, features, and industry best practices as the AI ecosystem evolves.
  • Leverage AI coding assistants and agentic development tools to accelerate delivery while maintaining a strong focus on clear requirements, modular design, observability, maintainability, and code quality.
  • Drive the evolution of core Identity Governance capabilities-including certifications, lifecycle management, workflows, and Separation of Duties (SoD)-by enhancing existing functionality, improving performance and scalability, and delivering incremental features that strengthen enterprise identity governance.
  • Partner closely with Support and customer-facing teams to troubleshoot and resolve customer issues, drive timely solutions, improve product reliability, and deliver a positive customer experience that builds trust and customer delight.
  • Monitor AI agent performance, usage, operational health, and security across multiple platforms.
  • Collaborate with platform, security, and product teams to implement secure AI solutions using authentication, authorization, and least-privilege principles.
  • Contribute to observability by implementing logging, metrics, monitoring, and compliance for AI agents.
  • Evaluate and adopt emerging AI agent platforms, interoperability standards (such as MCP and Agent-to-Agent communication), and governance technologies.
  • Document architecture, governance processes, operational procedures, and engineering best practices for AI agents.
You Have:
  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or equivalent practical experience.
  • 8+ years of experience in data engineering related software engineering roles, with hands-on experience in data ingestion, data preparation, data processing, and building scalable data pipelines using frameworks such as Apache Spark, Apache Beam, or Apache Flink.
  • Strong understanding of data modeling and designing scalable data solutions for enterprise applications.
  • Extensive experience with BigQuery, SQL, NoSQL databases, and Elasticsearch.
  • Experience designing, optimizing, and troubleshooting analytical queries.
  • Hands-on experience building and maintaining ETL pipelines and large-scale data processing solutions.
  • Familiarity with structured and unstructured data management concepts.
  • Good understanding of distributed data systems and data integration patterns.
  • Strong analytical, problem-solving, and communication skills.
Bonus Points If You Have:
  • Exposure to Identity Governance (IGA) concepts.
  • Experience building MCP servers and AI agents using popular frameworks such as LangGraph and LlamaIndex.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with CI/CD pipelines and DevOps practices.
  • Experience building enterprise-scale distributed systems.
  • Experience mentoring engineers and leading technical initiatives.

Compensation Range: $132,000-$170,000
In accordance with Colorado's Equal Pay for Equal Work Act (SB 19-085) the approximate compensation range for this role in Colorado is listed above. Final compensation for this role will be determined by various factors, such as knowledge, skills, and abilities.