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Senior Python Ai Jobs in Schertz, TX (NOW HIRING)

TEKsystems

Senior Python Developer

San Antonio, TX · Hybrid

$70 - $90/hr

Senior Backend Engineer with heavy Python/FastAPI experience. 10+ years * Has built and supported ... Experience integrating external AI/LLM providers rather than building ML models. * Comfortable with ...

TEKsystems

Senior Python Developer

San Antonio, TX · Hybrid

$70 - $90/hr

Senior Backend Engineer with heavy Python/FastAPI experience. 10+ years * Has built and supported ... Experience integrating external AI/LLM providers rather than building ML models. * Comfortable with ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$143K - $273K/yr

... Senior Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI ... Extensive programming experience using Python, SQL, Java etc. * Extensive data engineering ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$143K - $273K/yr

... Senior Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI ... Extensive programming experience using Python, SQL, Java etc. * Extensive data engineering ...

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All JobsPython Ai JobsSenior Python Ai JobsSenior Python Ai Jobs in Schertz, TX

Senior Python Ai information

See Schertz, TX salary details

$49.9K

$128.7K

$176.8K

How much do senior python ai jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior python ai in Schertz, TX is $128,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $148,200.00 per year, depending on experience, location, and employer.

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 popular job titles related to Senior Python Ai jobs in Schertz, TX?

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

What job categories do people searching Senior Python Ai jobs in Schertz, TX look for?

The top searched job categories for Senior Python Ai jobs in Schertz, TX are:

Senior Python Ai jobs near you

JB061963 - Senior Python Developer (AI Ap

USM

San Antonio, TX • On-site, Remote

$70 - $85/hr

Contractor

Posted 10 days ago

Job description

  • Start Date: Interview Types Video Call
  • Skills Expert-level Python .. Visa Types Green Card, US Citiz..

    • Title: Senior Python Developer (AI Applications)
    Location: San Antonio, TX (Preferred), Plano, TX, Remote (last option)
    Work Model: Hybrid (4 days onsite, 1 day remote)
    Duration: 12 Months
    Rate: $70-85 an hour
    Openings: 2-4
    Interview Process:
  • 30-minute Manager Interview
  • 45-minute Technical Panel

    • Core Technical Requirements
    • 4-8+ years of software engineering experience
    • Expert-level Python development
    • Strong FastAPI (or Flask) experience in production environments
    • Building secure, versioned REST APIs
    • AWS or GCP cloud experience
    • PostgreSQL and/or MySQL
    • Redis, ElastiCache, or Memorystore
    • Docker containerization
    • CI/CD (GitHub Actions, Cloud Build)
    • API documentation using OpenAPI/Swagger
    • Testing (Unit, Integration, Contract)
    • Observability (logging, tracing, monitoring)
    • Distributed systems performance and resiliency

    Preferred Skills
    • Vertex AI / Gemini
    • AWS Bedrock
    • OpenAI integrations
    • OAuth/OIDC
    • JWT authentication
    • Service-to-service authentication
    • Terraform
    • React
    • Python-based data engineering
    • AI workflow orchestration

    Apply