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Senior Python Ai 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 ... Python * AI/ML Deployment & MLOps * Kubernetes / AKS * GPU Workloads * Cloud Security & Governance

Tanisha Systems

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary ... The ideal candidate will have strong expertise in Python programming , FastAPI , and cloud ...

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code ... Python: Production-grade Python 3.13+, type annotations and async/await as the default. No ...

Programmers.io

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 ... The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms ...

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Senior Python Ai information

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

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

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

What are popular job titles related to Senior Python Ai jobs in Texas?

For Senior Python Ai jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Texas look for?

The top searched job categories for Senior Python Ai jobs in Texas are:

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

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

Senior Python Ai jobs near you

Sr AI Developer

BravoTech

Irving, TX • On-site

Full-time

Re-posted 5 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
972-419-1615 ahardemon@bravotech.com
About Irving, TX
Discover exciting job opportunities in the vibrant city of Irving, Texas! Known for its diverse community and thriving economy, Irving offers endless possibilities for career growth and development. With its close proximity to Dallas Fort Worth International Airport, major corporations, and charming neighborhoods like Las Colinas, Irving is the perfect place to advance your career. Explore job listings in this bustling city and be part of the dynamic energy that surrounds attractions like the Toyota Music Factory, the Irving Arts Center, and the Mustangs of Las Colinas sculpture. Embrace the blend of Texan hospitality and cosmopolitan flair that makes Irving a truly exceptional place to work and live. Take the next step in your career journey and find your perfect match in Irving, Texas!

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