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Ai Implementation Jobs in Roxana, IL (NOW HIRING)

Strategic Staffing Solutions

Lead AI Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

Implement AI observability, tracing, and monitoring capabilities. Develop automated testing and regression validation processes. Integrate AI solutions with APIs, enterprise applications, and data ...

CACI

AI Engineer

O Fallon, IL · On-site

$82K - $172K/yr

Design, develop, and implement AI solutions in production environments Lead AI pilot programs from conception to execution Collaborate with cross-functional teams to integrate AI capabilities into ...

New

Accenture

AI & HPC Infrastructure Engineer

Saint Louis, MO · On-site

$97K - $127K/yr

Design and implement AI infrastructure and accelerated computing solutions, aligning system architecture and deployment roadmaps to industry-specific performance, scalability, resiliency, and ...

Stifel

AI-Application Security Engineer

Saint Louis, MO · On-site

$57 - $76.25/hr

Implement, integrate, tune, and scale security tooling across application and AI environments, including runtime monitoring, governance controls, testing platforms, and posture management ...

Stifel

AI-Application Security Engineer

Saint Louis, MO

$57 - $76.25/hr

Implement, integrate, tune, and scale security tooling across application and AI environments, including runtime monitoring, governance controls, testing platforms, and posture management ...

Stifel

AI-Application Security Engineer

Saint Louis, MO

$57 - $76.25/hr

The AI-Application Security Engineer is responsible for implementing and scaling technical security controls and security processes across internally developed applications and AI-enabled systems.

Deloitte

AI Engineer Consultant

Saint Louis, MO · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

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Showing results 21-40

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Ai Implementation information

See Roxana, IL salary details

$37.4K

$99.3K

$161.1K

How much do ai implementation jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai implementation in Roxana, IL is $99,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the most commonly searched types of Ai Implementation jobs in Roxana, IL?

The most popular types of Ai Implementation jobs in Roxana, IL are:

What job categories do people searching Ai Implementation jobs in Roxana, IL look for?

The top searched job categories for Ai Implementation jobs in Roxana, IL are:

What cities near Roxana, IL are hiring for Ai Implementation jobs?

Cities near Roxana, IL with the most Ai Implementation job openings:

Ai Implementation jobs near you

AI Enablement Lead / AI Adoption Champion

Princeton IT Services

Saint Louis, MO • On-site

Contractor

Re-posted 4 days ago

Job description

Title – AI Enablement Lead / AI Adoption Champion

Location: St. Louis (MO) (5days onsite)

Ideal Candidate Profile

  • Senior technology professional with exposure to Software Development and Product Engineering environments.
  • Strong communication and stakeholder management skills.
  • Experience in training, coaching, or technology evangelization.
  • Good understanding of AI tools, AI ecosystems, and enterprise adoption strategies.
  • Ability to influence teams and drive organizational change.

Objective

Drive awareness and adoption of AI tools and capabilities across Business Analysis and Product Development teams, enabling employees to leverage the AI ecosystem effectively in their day-to-day work.

Key Responsibilities

  1. Drive AI Awareness
    • Create awareness across teams on available AI tools, platforms, and capabilities.
    • Demonstrate practical use cases and day-to-day applications of AI in software development and product teams.
    • Promote best practices for AI adoption within the organization.
  2. Team Engagement and Enablement
    • Connect with teams and individuals to understand their challenges and identify opportunities for AI adoption.
    • Act as a bridge between business teams and the AI ecosystem within Mastercard.
    • Provide guidance on selecting the right AI tools for specific business or technical needs.
  3. Technical Advisory Role
    • Possess strong technology understanding without necessarily being hands-on with development frameworks.
    • Guide teams on leveraging AI solutions to improve productivity, quality, and delivery efficiency.
    • Provide strategic recommendations on AI usage and implementation.
  4. Support Software Development and Product Teams
    • Partner closely with Software Engineering, Product Development, and Business Analysis teams.
    • Identify opportunities where AI can accelerate development, testing, documentation, and product management activities.
  5. Training and Coaching
    • Function as an AI trainer, mentor, and evangelist for the organization.
    • Conduct workshops, knowledge-sharing sessions, and enablement programs.
    • Develop learning materials and adoption playbooks.
  6. Technology Guidance
    • The role does not require an Architect-level resource.
    • Requires a senior professional who understands technology landscapes and can guide teams effectively.
    • Focus on enablement, adoption, and strategic guidance rather than solution architecture or hands-on implementation.