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Technical Trainer For Ai Coding Projects Jobs in Minnesota

AI Security Architect

Minneapolis, MN · On-site

$67.75 - $87.75/hr

... secure coding, API security, identity and access management, and secrets management for AI ... project experience; Master's degree preferred. • 7+ years of progressive experience as an ...

Tech Trainer - Shakopee, MN

Shakopee, MN · On-site

$76K - $111K/yr

Position Overview The Technical Trainer delivers technical training courses to internal and ... Support the development of training materials for operator, administrator, and maintenance courses.

AI Security Architect

Minneapolis, MN · On-site

$67.75 - $87.75/hr

This individual is responsible for being a thought leader and driving AI and GenAI projects and ... Guide development teams on secure coding, API security, identity and access management, and secrets ...

Write detailed, specific product requirements for API-first features optimized for AI coding tools ... Conduct enterprise client research and translate insights into precise technical specifications ...

... training, deployment, and monitoring at scale. • Optimize compute, storage, and networking for ... • Provide technical documentation and guidance for platform usage and best practices.

Showing results 41-60

Technical Trainer For Ai Coding Projects information

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 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 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.

What are popular job titles related to Technical Trainer For Ai Coding Projects jobs in Minnesota? For Technical Trainer For Ai Coding Projects jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Technical Trainer For Ai Coding Projects jobs in Minnesota look for? The top searched job categories for Technical Trainer For Ai Coding Projects jobs in Minnesota are:
What cities in Minnesota are hiring for Technical Trainer For Ai Coding Projects jobs? Cities in Minnesota with the most Technical Trainer For Ai Coding Projects job openings:
Infographic showing various Technical Trainer For Ai Coding Projects job openings in Minnesota as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

AI Security Architect

Voya Financial

Minneapolis, MN • On-site

$67.75 - $87.75/hr

Full-time

Re-posted 18 days ago


Voya Financial rating

7.9

Company rating: 7.9 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

84th of 150 rated financial services


Job description

Job Summary:
Voya Financial is committed to fighting for everyone’s opportunity for a better financial future. The AI Security Architect role is essential for leading architecture activities that support business models and technology investments, specializing in artificial intelligence to enhance security and compliance within the organization.
Responsibilities:
• Create deliverables that illustrate how to strategically move the business forward.
• Define and maintain AI security reference architectures, design patterns, and standards covering data ingestion, model training, deployment, inference, and monitoring
• Establish AI security governance frameworks, guardrails, and risk management practices aligned with enterprise security architecture and compliance requirements
• Ensure secure use of generative AI, large language models (LLMs), and third‑party AI services through policy, technical controls, and architectural review
• Drive greater usage of AI within security team to improve posture and operations
• Create new ML/AI use cases to include AgenticAI and drive to execution within security and cloud operations
• Conduct AI‑specific threat modeling and risk assessments, including risks related to data poisoning, adversarial attacks, model theft, prompt injection, and unauthorized model usage
• Define mitigations and compensating controls for identified risks across cloud, application, API, and data layers
• Partner with detection and response teams to design monitoring and logging for AI systems
• Engage key business stakeholders to facilitate both strategy and innovation planning.
• Review and approve AI solution designs to ensure alignment with security, privacy, and resilience requirements
• Design controls for secure data pipelines, secure model storage, controlled model access, and protected inference endpoints
• Guide development teams on secure coding, API security, identity and access management, and secrets management for AI workloads
• Collaborate with legal, privacy, and compliance teams to ensure AI solutions meet regulatory and internal policy obligations
• Support audits, risk reviews, and control assessments related to AI systems
• Contribute to responsible AI practices by integrating security, privacy, and risk considerations into enterprise AI standards
• Develop, motivate and direct staff to create a team environment, and enable staff to fulfill the line-of-business (LOB) or business unit (BU) partners operating objectives
• Act as a security subject‑matter expert for AI initiatives across the organization
• Translate complex AI security risks into clear business and executive‑level guidance
• Mentor engineers and architects on AI security best practices and emerging threats
Qualifications:
Required:
• Bachelor's degree in business, computer science, information systems or related discipline, or equivalent and extensive related project experience; Master’s degree preferred.
• 7+ years of progressive experience as an architect, with at least 3 years experience in artificial intelligence and generative AI.
• 5+ years of business or IT experience with a direct responsibility for strategy formulation and/or translation, business analytics, and program management, application development, middleware, database management or operations.
• Expert level experience in one or more of the following areas: strategic planning, leadership, business relationship management and business process management.
• Expert level knowledge and understanding of different types of business and operating models (existing, new, emerging and hybrid).
• Expert level knowledge of existing, new and emerging technologies and being able to apply them to new business designs and business models.
• Expert level in-depth experience with business transformation and process redesign methods.
• Expert level knowledge in all aspects of designing and constructing business processes, functions and organizational structures.
• Expert level knowledge of facilitation and organization change management.
• Expert level analytical and conceptual skills; ability to create original concepts and theories for a variety of programs and projects.
• Expert level experience leading multi-disciplined, high-performance work teams.
• Expert level skills in leading program management efforts involving the coordination of resources and goals across multiple related projects.
• Expert level experience developing and monitoring delivery of efficient and effective solutions to diverse and complex business problems.
• Expert level knowledge of finance, accounting, valuation and metrics development.
• Expert level statistical and information analysis skills (a plus).
• Practical ability to communicate, influence and persuade – business and IT leaders as well as peers.
• Use the language of business leaders and join the conversation that's taking place.
• Expert level ability to adapt to rapidly changing technology and apply it to business needs.
• Expert level ability to establish and maintain a high-level of business partner trust and confidence.
• Expert level ability to analyze project needs and determine resources needed to meet objectives and solve problems that involve remote and elusive symptoms, often spanning multiple environments in a business area.
• Expert level understanding of business process management, workflow and integration methods and tools.
• Team player, facilitator and works well with others. Respected and trusted leader.
• Remains unbiased, specific technology- and vendor-neutral – more interested in results than personal preferences.
• Displays intellectual curiosity and integrity.
• Motivated by long-term results and achieving targeted business outcomes.
Company:
Voya Financial is a financial services company that specializes in the fields of retirement, investments, and insurance. It is a sub-organization of Venerable Holdings. Founded in 1991, the company is headquartered in Atlanta, USA, with a team of 10001+ employees. The company is currently Late Stage.

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