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Python Ai Developer Jobs in Missouri (NOW HIRING)

Principal AI Engineer, LLM, Snowflake, Cortex AI, natural language to SQL, semantic data modeling, data engineering, Python, SQL, enterprise AI Position Perks & Benefits: Paid time off: full-time ...

We're looking for a creative, systems-thinking engineer with strong data platform expertise, excellent SQL/Python skills, and a passion for translating business questions into scalable AI solutions.

$79K - $104K/yr

Extensive hands-on experience with Python in production environments. * Experience designing and ... and developer productivity. * Exposure to advanced LLM applications, RAG architectures, and AI ...

Our partner is looking for a Back-End Engineer (Python) based in Netherlands. This role offers the ... You will work with modern technologies and AI-assisted development workflows as part of everyday ...

Snowflake Data Architect

Saint Louis, MO ยท Hybrid

$62 - $79.75/hr

Mentor and guide data engineers, analysts, and data scientists in implementing enterprise data ... Experience implementing Snowflake Cortex, Snowpark (Python), AI SQL, and AI-driven analytics ...

Sr. AI Automation Engineer

Saint Louis, MO ยท On-site

$101K - $132K/yr

Document code/processes so that any other developer is able to dive in with minimal effort. * Work ... Bachelor's degree or equivalent experience * 5+ years experience working in Java and Python

... software developer, designed for someone who can operate across the full lifecycle of AI system ... Strong software development skills with proficiency in Python, JupyterHub, GitHub, Visual Studio ...

Senior AI Engineer

Saint Louis, MO ยท Remote

$75 - $81.56/hr

Job#: 3033249 Senior AI Engineer Location: St. Louis, Missouri (Partial Remote) Employment Type ... Advanced proficiency in Python. * Familiarity with agentic frameworks such as LangGraph, AutoGen ...

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Python Ai Developer information

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How much do python ai developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for python ai developer in Missouri is $54.99, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $62.45 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.

Which 3 jobs will survive AI?

For a Python AI Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, developing, and overseeing AI systems, often requiring advanced technical skills, domain expertise, and adaptability to evolving technologies.

Will AI replace Python coders?

AI development roles, including Python AI developers, focus on creating and maintaining AI models and tools. While AI can automate certain coding tasks, human expertise is still essential for designing, debugging, and improving AI systems, making complete replacement unlikely in the near term.

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.

Which 5 jobs will survive AI?

For a Python AI Developer, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research scientist, data scientist, machine learning engineer, cybersecurity analyst, and software architect. These positions often involve designing, overseeing, and interpreting AI systems, which are less susceptible to automation. Continuous learning and expertise in AI tools and programming languages are essential for long-term job security in this field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and programming with tools like Python, along with significant experience and sometimes advanced degrees. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI solutions in business applications.

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 are popular job titles related to Python Ai Developer jobs in Missouri? For Python Ai Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Python Ai Developer jobs in Missouri look for? The top searched job categories for Python Ai Developer jobs in Missouri are:
What cities in Missouri are hiring for Python Ai Developer jobs? Cities in Missouri with the most Python Ai Developer job openings:
Infographic showing various Python Ai Developer job openings in Missouri as of June 2026, with employment types broken down into 33% Full Time, 62% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $114,373 per year, or $55 per hour.

Forward Deployed AI Engineer Healthcare (Agentic AI )

The Giant Bullseye

Saint Louis, MO โ€ข On-site

Contractor

Posted 17 days ago


Job description

Role Overview

We are hiring Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to drive AI-led transformation across core business workflows.

This is not a traditional engineering role. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient.

You will operate at the intersection of AI, engineering, and healthcare operations, delivering real-world impact across critical payer workflows.


Key Responsibilities1. AI-Driven Business Transformation
  • Redesign healthcare processes using AI-first principles
  • Identify opportunities to replace or augment manual workflows with AI agents
  • Translate business problems into working AI solutions

2. Agentic AI Design & Deployment
  • Design, build, and deploy AI agents for enterprise workflows
  • Implement multi-agent systems using LLMs (prompting, memory, tool usage)
  • Rapidly prototype and productionize solutions using platforms such as:
    • OpenAI
    • Anthropic
    • Google (Gemini)

3. Forward Deployed Execution
  • Work directly with client teams (business + IT) to:
    • Whiteboard solutions
    • Build prototypes in days/weeks
    • Deploy and iterate rapidly
  • Operate as a trusted advisor and builder

4. AI-Augmented SDLC
  • Leverage AI across the software lifecycle:
    • Code generation and refactoring
    • Automated testing and validation
    • Documentation and observability
  • Drive productivity improvements across engineering teams

5. Enablement & Adoption
  • Train business and operations teams to:
    • Use AI tools and agents effectively
    • Build and iterate workflows independently
  • Develop reusable playbooks and frameworks

Domain Focus (Healthcare Payer Workflows)
  • Claims Processing & Adjudication
  • Prior Authorization
  • Member & Provider Contact Center
  • Provider Data Management
  • Care Management & Utilization Review
  • Revenue Cycle & Payment Integrity

Required SkillsTechnical
  • Strong software engineering background (Python, APIs, microservices)
  • Experience with LLMs, prompt engineering, and AI frameworks
  • Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.)

AI & Data
  • Experience building AI/ML or LLM-powered applications
  • Understanding of structured and unstructured data pipelines
  • Knowledge of model evaluation, monitoring, and governance

Cloud
  • Experience with:
    • AWS
    • Azure

Consulting Mindset
  • Strong communication and stakeholder management
  • Ability to work directly with business teams
  • Experience in rapid prototyping and iterative delivery

Preferred
  • Experience in U.S. healthcare payer or PBM environments
  • Understanding of claims, prior auth, or care management workflows
  • Familiarity with regulatory/compliance (HIPAA)

Experience
  • 6โ€“12+ years in software engineering, AI, or related roles
  • Prior client-facing / consulting experience preferred

What Makes This Role Unique
  • Work at the forefront of AI-driven enterprise transformation
  • Build real-world AI agents replacing traditional workflows
  • Direct business impact through a forward-deployed model
  • Opportunity to scale from pilot solutions to enterprise-wide programs

Success Metrics
  • Number of workflows transformed using AI
  • Reduction in manual effort and cost-to-serve
  • Adoption of AI tools by business teams
  • Speed from prototype to production