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Government Tech Jobs in Texas (NOW HIRING)

Valinor is a new type of defense and government tech company focused on solving the problems others don't. Our unique model of centralized go-to-market and decentralized engineering allows us to move ...

Government * Technology Consulting Soft Skills * Excellent leadership and team management abilities. * Strong communication and interpersonal skills. * Exceptional problem-solving and decision-making ...

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Government Tech information

See Texas salary details

$20.7K

$95.1K

$204.5K

How much do government tech jobs pay per year?

As of Aug 11, 2026, the average yearly pay for government tech in Texas is $95,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,609.00 and $149,943.00 per year, depending on experience, location, and employer.

What is a government tech?

A Government Tech job involves using technology to support public sector operations, improve services, and enhance cybersecurity. Professionals in this field work on IT infrastructure, software development, data analysis, and digital transformation. They may be employed by federal, state, or local governments to modernize systems, ensure compliance, and improve efficiency. Roles can range from cybersecurity specialists to IT project managers and software developers.

What are the key skills and qualifications needed to thrive in the government tech position, and why are they important?

To thrive as a Government Tech, you need a solid background in information technology, an understanding of cybersecurity principles, and often a relevant degree or government security clearance. Familiarity with government-specific systems, database management, cloud platforms, and certifications such as CompTIA Security+ or CISSP are commonly expected. Strong problem-solving, attention to detail, and effective communication skills are essential, as is the ability to work collaboratively. These skills help ensure the reliable and secure operation of government technology systems that are critical to public services.

What are the typical daily responsibilities of a government tech?

Government Tech professionals are often responsible for maintaining, monitoring, and troubleshooting a range of government IT systems and networks. This includes installing updates, responding to technical support requests from government employees, and ensuring that all systems comply with security policies. They frequently collaborate with other IT staff, project managers, and department leaders to implement new technologies or improve existing ones. The role may also involve documenting processes and participating in regular training to stay current with evolving cybersecurity threats. This provides variety and challenge while making a direct impact on the efficiency of government operations.

What are the most commonly searched types of Government Tech jobs in Texas? The most popular types of Government Tech jobs in Texas are:
What cities in Texas are hiring for Government Tech jobs? Cities in Texas with the most Government Tech job openings:
Infographic showing various Government Tech job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 12% Part Time, 7% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $95,141 per year, or $45.7 per hour.

Senior AI Engineer Software Engineer Government Technology

ICON

Austin, TX • On-site, Remote

$192K - $264K/yr

Full-time

Re-posted 9 days ago


Job description

ICON is looking for a pragmatic builder who has made the leap from traditional software engineering into the emerging world of agentic AI development to join our Government Technology team. As an AI Software Engineer at ICON, you will be responsible for designing and shipping AI-powered tools, workflows, and autonomous agents that accelerate ICON's construction technology platform. This role reports to the Sr. Director, Defense Technology Programs and is available for remote work with periodic travel to ICON HQ in Austin, TX as projects require.
 

RESPONSIBILITIES

  • Design and build agentic AI systems that automate complex, multi-step workflows across ICON's software platform
  • Develop LLM-powered features and products using state-of-the-art foundation models and APIs (e.g. Anthropic, OpenAI)
  • Architect and implement multi-agent pipelines, tool-use systems, and Model Context Protocol (MCP) integrations
  • Build robust RAG systems including document ingestion, chunking strategies, embedding pipelines, and vector retrieval
  • Collaborate with software and domain teams to identify high-leverage AI automation opportunities and translate them into shipped products
  • Own the full development lifecycle of AI features: prototyping, evaluation, deployment, and iteration
  • Serve as a technical resource and informal mentor on agentic AI best practices across the engineering organization
  • Stay at the leading edge of the agentic AI landscape and bring emerging techniques into production


MINIMUM QUALIFICATIONS

  • 8+ years of professional software engineering experience with a strong foundation in backend or full-stack development
  • Demonstrated experience building and shipping production-grade products using LLMs and agentic frameworks
  • Proficiency in TypeScript and/or Python
  • Deep understanding of prompt engineering, context management, and LLM reasoning patterns
  • Experience with tool-use, function calling, and agent orchestration (e.g. LangChain, LlamaIndex, Claude Code, or custom implementations)
  • Proficiency in the design and execution of structured evals to measure and improve AI system performance
  • Strong communication skills and comfort working cross-functionally with both technical teams and non-technical stakeholders
  • Experience working in or alongside government, defense, or regulated environments
  • Strong experience working with code generation agents (e.g. Claude Code, Cursor, Devin-style systems)
  • Eligible to obtain and maintain a U.S. Government security clearance.


PREFERRED SKILLS AND EXPERIENCE

  • Experience with MCP (Model Context Protocol) server development and integration
  • Familiarity with vector databases (e.g. pgvector, Pinecone, Weaviate)
  • Experience with fine-tuning, RLHF, or model evaluation pipelines
  • Strong background in ML fundamentals: embeddings, transformers, attention mechanisms
  • Exposure to structured output generation and LLM-based data extraction
  • Familiarity with AWS and serverless infrastructure for AI workloads
  • Interest or background in the AEC (architecture, engineering, construction) industry

The pay range for this position is $192,640 - $264,880 annually. Actual compensation will be determined based on experience, skills, and other job-related factors.