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Python Ai Developer Jobs in Dallas, TX (NOW HIRING)

Senior AI Developer

Dallas, TX · Hybrid

$54.25 - $71.50/hr

Senior AI Developer Location: Dallas or Austin, TX or SFO, CA (Day 1 onsite Hybrid 3 days a week in ... Lead the design, development, and testing of full stack (frontend, backend, API) Python ...

... Cloud/DevOps experience (Azure/AWS, SageMaker, Kubernetes, CI/CD) • Database expertise (SQL ... Required : • Expert-level Python programming • Proficiency in AI frameworks (TensorFlow ...

Sr. AI Developer

Richardson, TX · On-site +1

$125K - $213K/yr

We are seeking a Lead AI Engineer who is a senior technical leader responsible for driving the ... Python and TypeScript/JavaScript in production environments * Designing and operating distributed ...

Python Developer

Dallas, TX · Hybrid

$49.75 - $68.50/hr

Python Developer Are you an experienced, passionate pioneer in technology who wants to work in a ... Our AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible ...

You'll work with AI engineers, platform teams, and partners who value thoughtful design ... Extensive experience using Python to develop scalable solutions across a range of business or ...

You'll work with AI engineers, platform teams, and partners who value thoughtful design ... Extensive experience using Python to develop scalable solutions across a range of business or ...

You'll work with AI engineers, platform teams, and partners who value thoughtful design ... Extensive experience using Python to develop scalable solutions across a range of business or ...

You'll work with AI engineers, platform teams, and partners who value thoughtful design ... Extensive experience using Python to develop scalable solutions across a range of business or ...

You'll work with AI engineers, platform teams, and partners who value thoughtful design ... Extensive experience using Python to develop scalable solutions across a range of business or ...

Agentic AI Developer

Dallas, TX

$102K - $119K/yr

Role Overview We are looking to hire 3 Agentic AI Developers to design, build, and deploy ... Strong Python / Node.js skills * LLM frameworks: LangChain, LlamaIndex, or similar * OpenAI ...

Agentic AI Developer

Dallas, TX · Remote

$51.50 - $68.25/hr

Role Overview We are looking to hire 3 Agentic AI Developers to design, build, and deploy ... Strong Python / Node.js skills * LLM frameworks: LangChain, LlamaIndex, or similar * OpenAI ...

Agentic AI Developer- Lead

Dallas, TX

$58.50 - $76.75/hr

Agentic AI Developer (Principal / Lead Level) Role Summary We are seeking a highly experienced ... Proficiency in Python and modern AI/ML tooling. Nice to Have * Experience deploying agentic systems ...

Agentic AI Developer

Dallas, TX · On-site

$102K - $119K/yr

Role Overview We are looking to hire 3 Agentic AI Developers to design, build, and deploy ... Strong Python / Node.js skills * LLM frameworks: LangChain, LlamaIndex, or similar * OpenAI ...

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Python Ai Developer information

See Dallas, TX salary details

$13

$58

$85

How much do python ai developer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for python ai developer in Dallas, TX is $58.01, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $65.91 per hour, depending on experience, location, and employer.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

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

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can command higher salaries, especially in tech hubs or companies with advanced AI projects.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.
What job categories do people searching Python Ai Developer jobs in Dallas, TX look for? The top searched job categories for Python Ai Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Python Ai Developer jobs? Cities near Dallas, TX with the most Python Ai Developer job openings:
Infographic showing various Python Ai Developer job openings in Dallas, TX as of May 2026, with employment types broken down into 53% Full Time, 42% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $120,671 per year, or $58 per hour.
Lead AI Engineer (Knowledge Graph / Ontology & Agentic AI)

Lead AI Engineer (Knowledge Graph / Ontology & Agentic AI)

Anblicks

Dallas, TX

$101K - $134K/yr

Other

Posted 18 days ago


Job description

Job Description Lead AI Engineer (Knowledge Graph / Ontology & Agentic AI)

Location: Dallas, TX

Role Summary

Seeking a Lead AI Engineer with strong expertise in Knowledge Graph (KG), Ontology modeling, and Generative AI (LLMs, Agentic AI) to design and scale a Customer Knowledge Graph platform using Neo4j and App Orchid. The role will lead AI product/platform development, enabling relationship intelligence, Customer 360 insights, and AI-driven decisioning.

Key Responsibilities

Knowledge Graph & Ontology (Neo4j / App Orchid)

  • Design and implement ontology models and semantic frameworks
  • Build and scale Customer Knowledge Graph using Neo4j and App Orchid
  • Develop entity resolution, relationship mapping, and enrichment pipelines
  • Write and optimize graph queries (Cypher) for analytics and insights
  • Manage performance, scalability, and governance of KG platform

AI & Agentic AI Development

  • Architect and implement Agentic AI and multi-agent systems
  • Leverage LLMs and RAG with Knowledge Graph for contextual intelligence
  • Enable capabilities such as:
    • Customer 360 insights
    • Relationship discovery & scoring
    • Natural language querying (Graph/SQL agents)
  • Drive end-to-end AI lifecycle (design deploy optimize)

Data Engineering & Integration

  • Build scalable pipelines to integrate enterprise data into KG
  • Implement customer identity resolution and data quality frameworks
  • Design APIs for application and AI model integration

Leadership & Platform Ownership

  • Lead AI platform architecture and roadmap
  • Mentor engineering teams and enforce best practices
  • Drive AI-first SDLC adoption and enterprise scaling
  • Collaborate with business, data science, and engineering stakeholders

Required Skills

  • Knowledge Graph & Ontology: RDF, OWL, semantic modeling
  • Graph Platforms: Strong hands-on with Neo4j and App Orchid
  • Graph Querying: Cypher (mandatory)
  • AI/GenAI: LLMs, RAG, Agentic AI (CrewAI/LangGraph)
  • Programming: Python (AI + data engineering)
  • Data Engineering: Spark, Kafka, Airflow (or equivalent)
  • Cloud: AWS / Azure
  • MLOps/DevOps: CI/CD, scalable system design

Preferred Skills

  • Customer 360 / Customer Data Platforms
  • Graph analytics (community detection, centrality)
  • Graph visualization tools
  • Exposure to GNNs
  • Docker / Kubernetes

Leadership Expectations

  • Own AI product/platform delivery end-to-end
  • Define technical roadmap and architecture strategy
  • Drive enterprise AI adoption with business impact (revenue, engagement)