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Full Stack Architect Jobs in Houston, TX (NOW HIRING)

Experience with component-based, modular architecture * Familiarity with: * AI/LLM concepts and ... Full Stack Engineer (AI/Platform-leaning) * Reason for Opening: * Staff augmentation to support AI ...

The Full Stack Engineer develops, integrates, and maintains robust web and mobile applications that ... Optimize application performance, security, and scalability through clean architecture and DevOps ...

Full Stack Engineer

Houston, TX · On-site

$75 - $95/hr

Full Stack Engineer Location: Houston, TX (Hybrid) Job Type: Contract-to-Hire Pay: $75.00 -$95.00 ... Solid understanding of application design patterns, data architecture, and database interactions.

The Full Stack Web Developer role will design, develop, deploy, and maintain enterprise web ... Strong understanding of software architecture and object-oriented programming principles.

Full Stack Engineer

Houston, TX · On-site

$90 - $120/hr

Full Stack Engineer Note: Position is not eligible for visa sponsorship. WhiteWater Express is a ... Solutions Architect - Associate. * Experience with CI/CD pipelines and deployment automation.

... architecture, engineering, and construction industry. We help organizations streamline their ... Develop and maintain full-stack software solutions using .NET, C#, and modern web technologies

Full Stack Engineer

Houston, TX · On-site

$100 - $130/hr

Full Stack Engineer - WhiteWater Express Car Wash (Houston, TX) - Full‑Time - On‑Site Location ... Solutions Architect - Associate. * Experience with CI/CD pipelines and deployment automation.

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Full Stack Architect information

See Houston, TX salary details

$73.1K

$161.1K

$190.7K

How much do full stack architect jobs pay per year?

As of Aug 24, 2026, the average yearly pay for full stack architect in Houston, TX is $161,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $189,800.00 per year, depending on experience, location, and employer.

What is a full stack architect?

A Full Stack Architect is a senior technical role responsible for designing and overseeing the development of both front-end and back-end systems in a software application. They ensure seamless integration between user interfaces, databases, servers, and APIs while making high-level architectural decisions. This role requires expertise in multiple programming languages, cloud services, security best practices, and scalability strategies. Full Stack Architects also collaborate with developers, product managers, and stakeholders to align technology solutions with business goals.

What does a full stack architect do?

A typical day for a Full Stack Architect involves designing system architectures, reviewing code, setting technology standards, and mentoring developers on both front-end and back-end best practices. You'll often participate in strategy meetings with product managers, work closely with DevOps teams to ensure smooth deployment, and coordinate with QA for quality assurance. Regular collaboration across different departments is crucial, as you serve as a technical liaison and provide guidance throughout the software development lifecycle. This highly interactive role keeps you engaged in both hands-on coding and high-level decision-making, offering variety and the chance to make a significant impact on project outcomes.

What are the key skills and qualifications needed to thrive in the full stack architect position, and why are they important?

To thrive as a Full Stack Architect, you need deep technical expertise in both front-end and back-end technologies, architectural design, and experience with cloud platforms and databases, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as AWS, Azure, Docker, RESTful APIs, and frameworks like React and Node.js, as well as certifications like AWS Certified Solutions Architect, is often expected. Strong leadership, effective communication, and problem-solving skills help you guide development teams and bridge gaps between stakeholders. These abilities ensure scalable, efficient solutions are designed and delivered while aligning technical efforts with business objectives.

Infographic showing various Full Stack Architect job openings in Houston, TX as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $161,126 per year, or $77.5 per hour.

Sr. Full-Stack

1 point system

Houston, TX • On-site

Contractor

Re-posted 11 days ago


Job description

Requirement - Sr. Full-Stack C# .NET Developer - Angular, (AI/Platform-leaning)

Location- Houston, TX

Contract W2

Requirements:

  • Strong Full Stack Engineering experience
  • Backend development in C#, .NET, or similar (less concerned about the actual programming languages and frameworks as AI code generation can translate between languages/frameworks).
  • Frontend skills in Angular and/or React - their front-ends fluctuate between both.
  • Experience with component-based, modular architecture
  • Familiarity with:
    • AI/LLM concepts and integration into applications
    • RAG patterns or chatbot development
  • Understanding of Azure ecosystem basics (especially pipelines and services)

Domain

  • Experience working in Microsoft-centric environments
  • Exposure to AI/ML or LLM-based applications
  • Understanding of software engineering lifecycle and platform development

Soft Skills

  • Strong communication skills (English fluency required)
  • Ability to be flexible/fungible across teams
  • Quick ramp-up capability (2-week evaluation threshold)
  • Strong collaboration and adaptability

Engagement Overview

  • Project / Initiative: AI Foundation Program (post-moonshot stabilization and standardization)
  • Business Objective:
    • Establish foundational AI and engineering capabilities
    • Standardize development patterns (RAG, chatbot frameworks)
    • Enable scalable, reusable AI solutions across the organization
  • Current State / Problem:
    • Initial AI efforts (“moonshots”) executed without proper foundational architecture
    • Lack of standardized components, patterns, and processes
    • Multiple teams require support with inconsistent needs and maturity levels
  • Desired Outcome:
    • Centralized, repeatable AI engineering framework
    • Modular, component-based architecture for reuse
    • Well-defined SDLC practices
    • Reliable, high-quality engineering talent embedded across teams

Role Summary

  • Role Title: Full Stack Engineer (AI/Platform-leaning)
  • Reason for Opening:
    • Staff augmentation to support AI foundation buildout
    • Multiple teams need additional resourcing at varying skill levels
  • How this role fits into the broader project:
    • Core contributors to building reusable AI components, frameworks, and patterns
    • Support both application enablement and platform standardization
  • Team Structure / Reporting Line:
    • Distributed across teams under:
      • Josh (focus: software engineering / SDLC modernization)
      • Sam (focus: AI Foundry / agent-based systems)

Preferred Skills (Nice-to-Haves)

  • Experience with:
    • Azure AI services (e.g., Azure AI Search)
    • AI orchestration frameworks (e.g., Semantic Kernel, LangChain, AutoGen)
    • Agent-based architectures / “Agentic AI”
  • Experience building internal platforms or developer frameworks
  • Exposure to model management and automation pipelines
  • Familiarity with memory integration patterns in AI systems
  • Experience working in nearshore/distributed teams

Requirements:

  • Strong engineering foundation (Full Stack or Backend-oriented)
  • Experience integrating AI/LLM capabilities into applications
  • Hands-on experience developing:
    • RAG applications
    • Chatbots
    • Agentic workflows
    • AI-powered developer platforms
  • Understanding of prompt orchestration and AI application architecture
  • Experience building reusable AI patterns and frameworks
  • Experience with Azure AI Foundry
  • Knowledge of hosted agents and agent orchestration
  • Understanding of model management and automation
  • Experience integrating memory components into AI system
  • LLM lifecycle management, agentic architectures, RAG
  • Tool calling and workflow orchestration.
  • Evaluation, testing, and governance of AI systems
  • AI enablement and educating development teams on AI fundamentals

Experience creating reusable AI accelerators and reference architectures nice to have