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Technical Trainer For Ai Coding Projects Jobs in Missouri

Blitt and Gaines

Director of Development

Kansas City, MO · On-site

$150K - $195K/yr

Develop governance policies for AI-generated code, validation requirements and human review ... Develop future technical leaders within the organization. * Conduct performance management, career ...

APC Integrated Services

AI Engineer

O Fallon, MO · On-site

$110K - $150K/yr

... Code and GitHub Copilot. • Establish best practices, governance, and training programs for ... across technical teams. • Communicate AI initiatives, timelines, opportunities, risks, and ...

Jobgether

... technical stakeholders while keeping projects aligned with business objectives and expected ... Comprehensive training and hands-on mentorship in AI development and implementation.

TELUS Digital

Developer - AI

Saint Louis, MO · On-site

Autonomous Construction & Code Generation: Configure and steer AI coding agents (such as Amazon Q ... for complex enterprise repositories. * Governance & Security: Implement automated security scanning ...

New

Brooksource

Data/AI Solutions Analyst

Kansas City, MO · On-site

$50 - $55/hr

... for someone who can move fast, leverage modern AI coding tools, and help bridge the gap between ... hands-on technical role * Strong working knowledge of SQL and basic data modeling concepts

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Technical Trainer For Ai Coding Projects information

What does a technical trainer for AI coding projects do?

A Technical Trainer for AI Coding Projects is responsible for designing and delivering training programs that teach individuals or teams how to develop, implement, and maintain artificial intelligence models and applications. They create instructional materials, lead hands-on coding workshops, and provide guidance on best practices in machine learning, deep learning, and related technologies. Technical Trainers also stay up to date with the latest AI tools and frameworks to ensure learners acquire relevant and practical skills for real-world projects.

What are some common challenges technical trainers for AI coding projects face when teaching complex machine learning concepts to diverse groups?

Technical Trainers for AI coding projects often encounter the challenge of bridging varying skill levels within a single training group. Participants may range from beginners to experienced programmers, requiring the trainer to adapt explanations and hands-on activities accordingly. Additionally, keeping up with rapidly evolving AI tools and frameworks means trainers must continuously update their own knowledge and course materials. Facilitating interactive, project-based learning while ensuring everyone stays engaged and understands foundational concepts is key to success in this role.

What are the key skills and qualifications needed to thrive as a technical trainer for AI coding projects, and why are they important?

To thrive as a Technical Trainer for AI Coding Projects, you need deep expertise in AI concepts, programming (such as Python), and instructional design, often supported by a relevant degree and experience in software development or AI. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and learning management systems, as well as certifications in AI or machine learning, is highly valuable. Excellent communication, patience, and adaptability help trainers engage diverse learners and tailor content to various skill levels. These skills ensure effective knowledge transfer, foster student confidence, and keep pace with evolving technology in the fast-moving AI field.

What is the difference between Technical Trainer For Ai Coding Projects vs Technical Instructor For AI Courses?

AspectTechnical Trainer For Ai Coding ProjectsTechnical Instructor For AI Courses
CredentialsRelevant certifications in AI, programming, and trainingSimilar certifications, often including teaching credentials or industry certifications
Work EnvironmentHands-on project environments, corporate training, or workshopsClassroom or online course settings, academic or training institutions
Employer & Industry UsageTech companies, startups, corporate training firmsUniversities, online education platforms, training institutes
Search & Comparison IntentFocus on practical AI coding skills and project-based trainingFocus on teaching AI concepts and curriculum delivery

While both roles involve training in AI, the Technical Trainer For Ai Coding Projects emphasizes hands-on project work and practical coding skills in real-world environments. In contrast, the Technical Instructor For AI Courses typically focuses on delivering theoretical knowledge and structured curricula in academic or online settings.

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For Technical Trainer For Ai Coding Projects jobs in Missouri, the most frequently searched job titles are:

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The top searched job categories for Technical Trainer For Ai Coding Projects jobs in Missouri are:

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Cities in Missouri with the most Technical Trainer For Ai Coding Projects job openings:

Technical Trainer For Ai Coding Projects jobs near you

Director of Development

Blitt and Gaines

Kansas City, MO • On-site

$150K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

About Blitt and Gaines, P.C.
Blitt and Gaines, P.C. is a leading debt collection law firm with over 30 years of experience representing most of the nation's largest financial institutions. With nine offices across Arizona, Arkansas, Illinois, Indiana, Iowa, Kansas, Missouri, Tennessee, and Wisconsin, our attorneys and support teams deliver high-quality, compliant, and ethical legal services.
At the heart of our firm are people-our clients, our employees, and the partnerships we build. Guided by our philosophy-Collect Compliantly. Litigate Ethically. Lead Effectively. Exceed Expectations. Expect Excellence-we uphold integrity, respect, and fairness in every interaction.
Job Summary:
The Director of Software Development is responsible for the strategic leadership, technical direction and operational management of the organization's Software Development, Quality Assurance and Data Operations functions.
This is a hands-on technical leadership position requiring deep software engineering expertise, enterprise architecture experience and a proven ability to build and lead high-performing engineering organizations. The Director will evolve engineering standards, modern software development practices, AI-assisted development workflows and scalable technical architectures while partnering with executive leadership to align technology initiatives with business objectives.
The Director oversees an engineering organization of approximately ten technical professionals consisting of five Software Developers, one Quality Assurance Analyst and a Data Operations Manager/Database Administrator who leads three Data Operations Specialists. The position is accountable for software engineering, database architecture, reporting platforms, application modernization, technical strategy, engineering productivity and the continuous improvement of software delivery processes.
Primary Responsibilities
Engineering Leadership:
  • Define and execute the long-term software engineering strategy for the organization.
  • Lead architecture and technical design decisions for enterprise applications and services.
  • Establish engineering standards, coding guidelines, architectural principles and development best practices.
  • Balance delivery of business initiatives with reduction of technical debt and platform modernization.
  • Drive continuous improvement across engineering processes and software quality.
  • Serve as the organization's senior technical authority for software engineering.

Software Architecture & Development:
  • Lead the design, development, testing, deployment and maintenance of enterprise software systems.
  • Review application architecture, database design, API design and implementation approaches.
  • Guide modernization initiatives involving legacy applications and platforms.
  • Develop scalable service-oriented and API-driven architectures.
  • Promote reusable software components and engineering consistency.
  • Ensure applications are secure, maintainable, scalable and supportable.

Data Operations & Reporting:
  • Provide strategic leadership for the organization's Data Operations function.
  • Partner with the Data Operations Manager to ensure reliable reporting, ETL processes, data synchronization and enterprise reporting platforms.
  • Oversee Microsoft SQL Server architecture, database performance and data integrity.
  • Support enterprise reporting initiatives utilizing Microsoft Power BI.
  • Ensure application architecture and database design remain aligned with long-term business needs.

Software Delivery & Engineering Operations:
  • Lead Agile software development using Azure DevOps.
  • Manage engineering roadmaps, sprint planning, backlog prioritization and release planning.
  • Establish engineering metrics around delivery, quality, stability, cycle time and operational performance.
  • Improve deployment automation and CI/CD pipelines.
  • Implement engineering governance including peer reviews, coding standards, release management and production change control.
  • Drive operational excellence through proactive monitoring, logging, observability and incident management.

AI-Enabled Software Engineering:
  • Develop and implement an enterprise strategy for AI-assisted software development.
  • Evaluate, deploy and govern agentic AI coding platforms including Claude Code and other enterprise AI development tools.
  • Establish engineering standards for responsible AI-assisted code generation, automated code reviews, documentation generation, testing, refactoring and technical analysis.
  • Design secure workflows that integrate AI agents into the software development lifecycle while protecting intellectual property and sensitive business information.
  • Lead adoption of AI-powered engineering practices that improve developer productivity without compromising software quality, maintainability, or security.
  • Develop governance policies for AI-generated code, validation requirements and human review processes.
  • Evaluate emerging AI technologies and recommend adoption strategies that provide measurable business value.
  • Mentor engineering teams on effective prompt engineering, AI collaboration techniques and best practices for integrating agentic development into daily workflows.

Team Leadership:
  • Recruit, hire, mentor and retain high-performing engineering talent.
  • Build an engineering culture focused on accountability, technical excellence, collaboration and continuous improvement.
  • Develop future technical leaders within the organization.
  • Conduct performance management, career development, coaching and succession planning.
  • Promote collaboration between Development, Data Operations, Quality Assurance, Infrastructure and business stakeholders.

Strategic Leadership:
  • Partner with executive leadership to develop technology roadmaps.
  • Participate in strategic planning, budgeting, staffing and resource allocation.
  • Evaluate technology investments and software platforms.
  • Manage relationships with software vendors and technology partners.
  • Identify technical risks and implement mitigation strategies.
  • Communicate engineering initiatives and project status to executive leadership.

Requirements
Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent professional experience.
  • 10+ years of enterprise software development experience.
  • 3+ years leading software engineering teams.
  • Experience managing technical managers and cross-functional engineering organizations.
  • Demonstrated experience designing enterprise software architectures.
  • Strong understanding of Agile software delivery methodologies.
  • Excellent communication and leadership skills.

Required Technical Expertise:
Software Engineering:
  • C#
  • .NET Framework / .NET
  • ASP.NET Core
  • Python
  • RESTful API development
  • SOLID Principles
  • Design Patterns
  • Microservices

Database Technologies:
  • Microsoft SQL Server
  • Stored Procedures
  • Performance Tuning
  • Database Design
  • ETL Processes

Development Operations:
  • Azure DevOps
  • Azure
  • Git
  • CI/CD
  • Agile / Scrum

Preferred Qualifications:
Experience with one or more of the following:
  • Microsoft Azure
  • React
  • Infrastructure as Code
  • Event-driven architecture
  • Microsoft Graph API
  • OAuth / OpenID Connect / Microsoft Entra ID
  • AI-assisted development platforms (Claude Code, GitHub Copilot, Cursor, OpenAI Codex, or similar)
  • Large Language Model integration and AI orchestration
  • Prompt engineering and AI workflow automation

Nice to Haves:
  • Familiarity with Collection Master software
  • Experience in the litigation or collections industry
  • Experience with Azure SQL or other cloud-based database services
  • Experience supporting large-scale reporting or analytics platforms

Benefits:
Blitt and Gaines, P.C. offers PTO, Paid Holidays, Medical Benefits, Competitive Salary and 401k and profit-sharing plans! Medical Benefits include - Medical, Dental, Vision, Life Insurance and Short-Term Disability.
Salary Description
$150K - $195K

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