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Senior Ai Developer Jobs in Texas (NOW HIRING)

BravoTech

Sr AI Developer

Irving, TX · On-site

Senior AI Developer w/MS Fabric Bravotech, a leader in IT staffing and staff augmentation services, is seeking a talented Sr. AI Developer/Architect w/ Fabric Skills: AI/ML Solutions, MS Stack, Azure ...

Aquent

Senior AI Developer

Southlake, TX · On-site

$81.90 - $91/hr

Establish team-level practices for effective AI-assisted development, including custom instructions and prompt engineering. * Contribute to the modernization of core technology infrastructure and ...

Judge Group, Inc.

Senior AI Developer

Southlake, TX · On-site

$85 - $90/hr

Our client is currently seeking a Senior AI Developer Location : Southlake, TX or Austin, TX (4 days a week on-site) Duration : 12-month contract to hire role About the job: At our leading financial ...

ClifyX

Senior AI DevOps Engineer

Dallas, TX · On-site

$55/hr

Senior AI DevOps Engineer Work Location: Any Infosys Hub office (Hybrid) Contract duration: Long term contract Rate on W2-$55/hr. * 7+ years of DevOps experience in Cloud ecosystem * Looking for ...

New

FleetPride, Inc.

Senior AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Responsibilities: 70% - Hands-On AI Development & Engineering * Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation) * Architect ...

Superior Fleet Solutions

Senior AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Responsibilities: 70% - Hands-On AI Development & Engineering * Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation) * Architect ...

Judge Group, Inc.

Senior AI Engineer

Mesquite, TX · On-site

$150K - $170K/yr

Senior AI Engineer Location: (1 days per week onsite/4 days work from home) Employment Type ... You will lead teams of AI developer agents, own full vertical slices of the stack, and deliver ...

Crowe LLP

Senior AI Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping clients scale smarter, transform faster, and lead in a platform-driven economy. Built for speed and ...

Crowe LLP

Senior AI Engineer

Austin, TX · On-site +1

$103K - $142K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping clients scale smarter, transform faster, and lead in a platform-driven economy. Built for speed and ...

Crowe LLP

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping clients scale smarter, transform faster, and lead in a platform-driven economy. Built for speed and ...

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

Role: Sr AI Engineer Location: Houston TX Project description We are seeking a highly skilled ... Work with DevOps to build CI/CD pipelines for ML workflows (MLOps) * Monitor model performance ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will ...

Emumba

Senior AI Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

Senior AI Engineer Department: Backend Employment Type: Full Time Location: USA Description We're looking for a hands-on AI Engineer who combines strong backend engineering fundamentals with hands-on ...

New

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering * Design and build agentic AI systems and ...

Eitacies Inc

Sr AI Engineer

Austin, TX · On-site

$122K - $161K/yr

Sr AI Engineer Location: Onsite - San Francisco, CA / Dallas, TX / Austin, TX We are looking for a strong Software Engineer with hands-on experience leveraging GenAI and agentic development tools to ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$180 - $260/hr

Represent H2O.ai externally at customer workshops, executive briefings, and technical deep‑dives as a credible senior voice. Agentic AI & LLM Engineering * Design and build agentic AI systems and ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Represent H2O.ai externally at customer workshops, executive briefings, and technical deep-dives as a credible senior voice. Agentic AI & LLM Engineering * Design and build agentic AI systems and ...

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Senior Ai Developer information

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.

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 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 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 are the most commonly searched types of Ai Developer jobs in Texas? The most popular types of Ai Developer jobs in Texas are:
What are popular job titles related to Senior Ai Developer jobs in Texas? For Senior Ai Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Senior Ai Developer jobs in Texas look for? The top searched job categories for Senior 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:
Senior Ai Developer jobs near you
Infographic showing various Senior Ai Developer job openings in Texas as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Sr AI Developer

BravoTech

Irving, TX • On-site

Full-time

Re-posted 25 days ago

Job description


Senior AI Developer w/MS Fabric
Bravotech, a leader in IT staffing and staff augmentation services, is seeking a talented Sr. AI Developer/Architect w/ Fabric
Skills: AI/ML Solutions, MS Stack, Azure, Azure Data Factory, MS Fabric, Fabric Data Factory, Fabric Data Pipelines, Fabric Semantic Models, Medallion Architecture, Python, MLOps, CI/CD, Leadership skills, Go-getter, Able to speak to business leaders in layman's terms about projects.
This role is ideal for a hands-on cloud AI engineer with deep expertise designing, deploying, securing, and optimizing enterprise AI platforms in Microsoft Azure environments.
The ideal candidate will possess strong experience with Azure AI services, cloud-native AI architecture, MLOps, scalable deployment patterns, and enterprise-grade security and governance.
Top Skills
  • Microsoft Azure AI & Cloud Services
  • Azure OpenAI Service
  • Azure Machine Learning (Azure ML)
  • Microsoft Fabric
  • Azure Data Factory (ADF)
  • Python
  • AI/ML Deployment & MLOps
  • Kubernetes / AKS
  • GPU Workloads
  • Cloud Security & Governance
  • CI/CD Automation
  • Infrastructure as Code (Terraform / Bicep)
Key Responsibilities
  • 70% - Hands-On AI Development & Engineering
  • 30% - Business Partnership & Solution Leadership
  • AI Platform Architecture & Deployment
  • Design, build, and deploy scalable AI/ML platforms in Microsoft Azure.
  • Implement enterprise AI solutions using Azure OpenAI, Azure ML, Azure AI Services, and Microsoft Fabric.
  • Architect end-to-end AI pipelines from data ingestion and preprocessing through model deployment, monitoring, and retraining.
  • Deploy GPU-intensive AI workloads using Azure Kubernetes Service (AKS), Azure VM Scale Sets, or containerized cloud environments.
  • Design highly available and fault-tolerant AI infrastructure supporting enterprise-scale workloads.
  • Architect production-ready pipelines from data ingestion through model monitoring
  • Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
  • Write high-quality, production-grade code (Python required; additional languages a plus)
  • Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
  • Work across cloud platforms (Azure, AWS, or GCP) to deploy secure, enterprise-grade solutions
  • Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
  • Optimize performance, scalability, and cost-efficiency of AI workloads
  • 30% - Business Partnership & Solution Leadership
  • Translate ambiguous business problems into structured AI solution designs
  • Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
  • Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
  • Lead solution design workshops and whiteboarding sessions
  • Quantify expected ROI and define measurable success metrics
  • Influence prioritization of AI initiatives based on business value and feasibility
  • Mentor junior developers and help elevate AI literacy across the organization
  • AI Engineering & Cloud Integration
  • Integrate AI solutions with Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, and enterprise data platforms.
  • Build MLOps pipelines for automated training, testing, deployment, and model lifecycle management.
  • Implement CI/CD pipelines for AI solutions using Azure DevOps or GitHub Actions.
  • Develop APIs and scalable inference endpoints for AI applications and LLM-powered solutions.
  • Security, Governance & Optimization
  • Implement enterprise-grade security controls for AI workloads including RBAC, Managed Identities, Key Vault, Private Endpoints, and network isolation.
  • Ensure compliance with governance, data privacy, and responsible AI standards.
  • Optimize AI cloud infrastructure for performance, scalability, and cost efficiency.
  • Monitor AI workloads for latency, utilization, drift detection, and operational reliability.
  • Collaboration & Leadership
  • Partner with business stakeholders, architects, data engineers, and DevOps teams to deliver AI-driven business solutions.
  • Provide technical leadership on cloud AI architecture and deployment best practices.
  • Evaluate emerging AI cloud technologies and recommend scalable enterprise solutions.
Required Qualifications
  • 5+ years of experience in Azure cloud engineering, AI deployment, or ML platform engineering.
  • Hands-on experience with Azure Machine Learning, Azure OpenAI, Azure AI Services, and Microsoft Fabric.
  • Strong experience deploying AI/ML models into production cloud environments.
  • Experience with Kubernetes, Docker, and scalable GPU-based deployments.
  • Strong understanding of cloud networking, identity management, and security architecture.
  • Must have 2+ years experience with MS Fabric
  • Strong Python scripting and automation skills.
  • Experience with Infrastructure as Code tools such as Terraform, ARM Templates, or Bicep.

70% - Hands-On AI Development & Engineering
  • Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
  • Architect production-ready pipelines from data ingestion through model monitoring
  • Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
  • Write high-quality, production-grade code (Python required; additional languages a plus)
  • Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
  • Work across cloud platform (Azure) to deploy secure, enterprise-grade solutions
  • Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
  • Optimize performance, scalability, and cost-efficiency of AI workloads
  • 30% - Business Partnership & Solution Leadership
  • Translate ambiguous business problems into structured AI solution designs
  • Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
  • Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
  • Lead solution design workshops and whiteboarding sessions
  • Quantify expected ROI and define measurable success metrics
  • Influence prioritization of AI initiatives based on business value and feasibility
  • Mentor junior developers and help elevate AI literacy across the organization
  • What Success Looks Like
  • AI solutions deployed into production that generate measurable business impact
  • Reduced time-to-value from idea to implementation
  • Business leaders who trust and understand the AI solutions being delivered
  • Scalable architecture that enables repeatable AI delivery across functions
  • Required Qualifications
  • 7+ years of software development experience
  • 3+ years building and deploying machine learning or AI solutions in production
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
  • Solid understanding of data engineering fundamentals
  • Ability to communicate complex technical ideas clearly and confidently
  • Demonstrated experience working directly with business stakeholders
4 days onsite
USC or GC
Salary w/benefit package
Meet Your Recruiter
Angela Hardemon
Text me about this job - 972-419-1615
Please include your name and Job Title in your Text.
Thanks!
  • 972-419-1615
  • ahardemon@bravotech.com

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