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

Guidehouse

Senior Data Engineer

San Antonio, TX · On-site

$80K - $133K/yr

Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies ... Experience with machine learning data pipelines and AI-enabled solutions. * Previous consulting or ...

Guidehouse

Senior Data Engineer

San Antonio, TX · On-site

$80K - $133K/yr

Develop and maintain data engineering solutions using Python, SQL, Spark, and related technologies ... Experience with machine learning data pipelines and AI-enabled solutions. * Previous consulting or ...

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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

Senior AWS Bedrock & SageMaker Developer

Programmers.io

San Antonio, TX • On-site

Contractor

Re-posted 16 days ago

Job description

Descriptions:
"• Develop, integrate, and optimize Generative AI applications using AWS Bedrock, including prompt engineering, RAG implementation, and AI agent workflows.
• Create and optimize prompts for LLMs
• Work with Amazon Bedrock APIs for model inference
• Develop backend services using Python / Node.js
• Enable real-time and streaming AI responses
• Build AI solutions using Bedrock Knowledge Bases
• Integrate with data sources (S3, databases, enterprise systems)
• Implement vector search and embeddings
• Design and build AI agents using Bedrock Agents
• Implement multi-step workflows and task automation
• Integrate external APIs/tools into AI workflows
• Work with core AWS services:
o IAM (security & access control)
o S3 (data storage)
o Lambda (serverless compute)
o API Gateway (service exposure)
• Deploy scalable and secure AI solutions
• Implement guardrails and content filtering
• Ensure data privacy, compliance, and safe AI usage
• Optimize token usage and model selection
• Monitor and control Bedrock usage costs
• Convert business requirements into AI-driven solutions
• Manage and utilize SageMaker Feature Store for reusable feature engineering
• Monitor model performance and detect data drift in production systems
• Maintain and retrain models for continuous performance improvement
• Track experiments, metrics, and ensure model reproducibility
• Integrate SageMaker with AWS services like S3, IAM, Lambda, and CloudWatch
• Optimize infrastructure, performance, and cost of ML workloads
• Collaborate with cross-functional teams to design and deliver ML solutions"
"Generative AI & LLM Fundamentals, Prompt Engineering, Bedrock API and SKD usage, RAG, AI Agents and workflow design,
Programming skill (Python, APIs, Microservice), AWS core knowledge (IAM, S3, Lambda, API Gateway), Application integration skills, Vector databases, CI/CD for AI Apps.
Understanding of ML life cycle, Strong coding in Python, Good knowledge on Py libraries (Pandas, Numpy, Scikit-learn (ML), Tensorflow/PyTorch),
Exploratory Data Analysis (EDA), Handling large dataset in Amazon S3, Model Training and Optimization, Model deployment, MLOps & Pipeline Automation.
Hands on SageMaker Studio, Training Jobs, Endpoints, Pipeline, Model registry, Feature Store
Hands on AWS Core services (S3, IAM, EC2, Lambda, Cluodwatch)"
Skills: Digital : Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : DevOps~Github Enterprise
Experience Required: 10 & Above