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Python Ai Jobs in Austin, TX (NOW HIRING)

Apple

GenAI Physical Synthesis Engineer

Austin, TX · On-site

$134.80K - $138.80K/yr

Experience with GenAI frameworks, large language models, and AI agent developmentExperience with industry standard Synthesis tools such as Fusion Compiler or GenusScripting skills in TCL, Python, or ...

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How much do python ai jobs pay per hour?

As of May 29, 2026, the average hourly pay for python ai in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is a Python AI job?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What are the key skills and qualifications needed to thrive in the Python Ai position, and why are they important?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

What are the typical daily responsibilities of a Python AI professional?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.
More about Python Ai jobs
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What job categories do people searching Python Ai jobs in Austin, TX look for? The top searched job categories for Python Ai jobs in Austin, TX are:
What cities near Austin, TX are hiring for Python Ai jobs? Cities near Austin, TX with the most Python Ai job openings:
Python Ai jobs near you
Infographic showing various Python Ai job openings in Austin, TX as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.

SAP BTP - Python AI

Futran Tech Solutions Pvt. Ltd.

Austin, TX • On-site

Full-time

Posted 16 days ago

Job description

Austin, TX.
Rate: Standard as per market.
This requirement is having skills combination Python with Gen AI & SAP BTP also. Full JD below.
JD:
  • Design, govern, and scale SAP BTP-based enterprise solutions, while embedding GenAI into workflows, operations, and user experiences
  • The role requires platform architecture, cloud-native design, integration, security, and GenAI-driven automation
  • Hands-on experience with SAP BTP architecture and ability to embed GenAI and agentic AI capabilities into SAP-centric enterprise landscape

Skills:
SAP BTP & Cloud
  • 8-10+ years of experience in SAP or enterprise cloud architecture
  • Strong hands-on experience with SAP BTP services
  • Solid understanding of cloud-native and microservices architecture
  • Experience with SAP security and identity concepts

GenAI & AI Architecture
  • Practical experience designing or implementing GenAI solutions
  • Strong understanding of:
    • LLMs and prompt engineering
    • RAG architectures
    • AI orchestration / agent-based patterns
  • Experience integrating LLMs with enterprise systems and APIs

DevSecOps & Engineering
  • Experience with CI/CD, automation, and cloud operations
  • Familiarity with Kubernetes, APIs, and event-driven architectures
  • Understanding of observability and reliability for production systems

Good to Have
  • Experience with SAP AI Core / AI Launchpad / GenAI Hub
  • Exposure to frameworks like LangChain, LangGraph, CrewAI

Responsibilities
SAP BTP & Cloud
  • Design and own end-to-end SAP BTP architectures across:
    • Cloud Foundry and/or Kyma runtimes
    • SAP Integration Suite (CPI, API Management, Event Mesh)
    • SAP HANA Cloud, Datasphere
    • Identity & Access Management (IAS, XSUAA, IDP trust)
  • Define account, subaccount, runtime, and security models aligned with enterprise standards
  • Establish reference architectures, design patterns, and best practices for BTP implementations

GenAI & AI Architecture
  • Design and implement GenAI-enabled use cases on BTP, such as:
    • AI copilots for SAP users
    • Incident, alert, and change summarization
    • Automated root cause analysis and remediation recommendations
    • Knowledge bots for runbooks, KT documents, and SAP operations
  • Architect RAG (Retrieval-Augmented Generation) pipelines using:
    • SAP HANA Cloud / vector stores
    • Secure enterprise data sources
  • Integrate BTP with enterprise LLM platforms (Azure OpenAI, OpenAI, Gemini, etc.)
  • Evaluate and apply agentic AI patterns

DevSecOps & Engineering
  • Define CI/CD pipelines for BTP applications and AI workflows
  • Ensure production readiness of GenAI solution
  • Work closely with SRE / Ops teams to operationalize AI solutions at scale

Apply