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Generative Ai Training Jobs in Oregon (NOW HIRING)

Nvidia

OR · On-site

$122K - $161K/yr

NVIDIA is at the forefront of the generative AI revolution, building the software and systems that ... Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch ...

Deloitte

Oracle Tech Cloud Manager

Portland, OR · On-site

... Generative AI services * Leading cloud migration, application consolidation, and database ... and training; licensure and certifications; and other business and organizational needs. The ...

NeuraFlash, Part of Accenture

OR

$70K - $154K/yr

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched ... campuses, training institutes, job fairs etc. * Implement recruiting ideas and strategies to ...

Cresta

Lead Engineer - AI Agent Voice Experience

OR · On-site +1

... NLP, generative AI, or voice AI. * Deep experience with model evaluation, benchmarking, error ... training or inference workflows. * Experience designing and deploying real-time ML systems with ...

NeuraFlash, Part of Accenture

OR · On-site

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched ... Deliver technical end user training and documentation * Exercise independent judgment, and take the ...

The Avian Consulting LLC

MLOps Engineer

Portland, OR · On-site

Design, build, and maintain end-to-end MLOps pipelines for model training, testing, deployment, and ... Experience with Generative AI, LLM deployment, or RAG-based applications. * Familiarity with Apache ...

Natera

OR

You will take ownership of our training initiatives, leveraging artificial intelligence and data ... Highly tech-savvy with proficiency in Learning Management Systems (LMS), generative AI tools, data ...

PowerSchool Group LLC

$144K - $180K/yr

The ideal candidate will show that "low touch" doesn't mean "low value," using generative AI and ... Drive organizational change through training, communication, and stakeholder engagement. * Foster a ...

Deloitte

Deployment Success Manager

Portland, OR · On-site

... Generative AI, transformative technologies, and creative design. We can enhance customer ... and training; licensure and certifications; and other business and organizational needs. The ...

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Generative Ai Training information

What are some common challenges faced by professionals working in generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What are the key skills and qualifications needed to thrive in generative AI training?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

What is the difference between Generative Ai Training vs Data Scientist?

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

What is generative AI training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.

What are popular job titles related to Generative Ai Training jobs in Oregon?

For Generative Ai Training jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Generative Ai Training jobs in Oregon look for?

The top searched job categories for Generative Ai Training jobs in Oregon are:

What cities in Oregon are hiring for Generative Ai Training jobs?

Cities in Oregon with the most Generative Ai Training job openings:

Generative Ai Training jobs near you
Infographic showing various Generative Ai Training job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Cyber - AWS Cloud Security - Senior Manager

Deloitte

Portland, OR • On-site

$117K - $159K/yr

Full-time

Posted 11 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Deloitte is seeking an AWS Cloud Security Senior Manager to lead the design and delivery of cloud security services within our Cyber practice. In this role, you will advise clients on securing Amazon Web Services (AWS) environments, shape cloud security strategies, and lead teams through complex transformation programs. The ideal candidate brings deep cloud security experience, client-facing leadership, and the ability to translate security requirements into scalable business solutions.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an AWS Cloud Security Senior Manager on the Enterprise Security team, you will be responsible for:

  • Leading AWS cloud security assessments, architecture reviews, and transformation initiatives for client environments
  • Defining cloud security strategies, target-state architectures, and implementation roadmaps aligned to business and technical objectives
  • Guiding the implementation of security controls across identity and access management, network security, encryption, logging, monitoring, and vulnerability management in AWS
  • Managing client relationships, delivery teams, and project workstreams while maintaining quality across complex cyber engagements
  • Supporting practice growth through mentoring, solution development, and participation in business development activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Security offering helps organizations embed security across digital transformation by securing the client's technical backbone while enabling secure business transformation. The team brings capabilities across security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 8+ years of experience in cybersecurity, information security, or cloud security
  • 5+ years of experience designing and implementing security solutions in Amazon Web Services (AWS)
  • Experience leading client engagements, project workstreams, or delivery teams for cloud security or cyber transformation programs
  • Experience with AWS Identity and Access Management, network security, logging and monitoring, encryption, vulnerability management, and security architecture, including experience leading the development of security strategies, governance frameworks, and secure architectures for AI/ML, Generative AI, and Agentic AI workloads deployed on AWS, including services such as Amazon Bedrock and Amazon SageMaker
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • AWS Certified Security - Specialty, AWS Certified Solutions Architect, or similar cloud security certification
  • Experience with infrastructure as code tools such as Terraform or AWS CloudFormation
  • Experience with cloud security posture management, container security, or DevSecOps
  • Experience leading Machine Learning, Generative AI, or Agentic AI security programs, including risk assessments, governance frameworks, and secure architecture for platforms such as Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks
  • Experience advising clients on AI/ML security risk management, model and data protection, and guardrails for autonomous AI agents
  • Experience supporting cloud security programs in regulated environments, presenting recommendations to executive stakeholders, and contributing to proposals, statements of work, or business development efforts

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte is seeking an AWS Cloud Security Senior Manager to lead the design and delivery of cloud security services within our Cyber practice. In this role, you will advise clients on securing Amazon Web Services (AWS) environments, shape cloud security strategies, and lead teams through complex transformation programs. The ideal candidate brings deep cloud security experience, client-facing leadership, and the ability to translate security requirements into scalable business solutions.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an AWS Cloud Security Senior Manager on the Enterprise Security team, you will be responsible for:

  • Leading AWS cloud security assessments, architecture reviews, and transformation initiatives for client environments
  • Defining cloud security strategies, target-state architectures, and implementation roadmaps aligned to business and technical objectives
  • Guiding the implementation of security controls across identity and access management, network security, encryption, logging, monitoring, and vulnerability management in AWS
  • Managing client relationships, delivery teams, and project workstreams while maintaining quality across complex cyber engagements
  • Supporting practice growth through mentoring, solution development, and participation in business development activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Enterprise Security offering helps organizations embed security across digital transformation by securing the client's technical backbone while enabling secure business transformation. The team brings capabilities across security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required:

  • Bachelor's degree
  • 8+ years of experience in cybersecurity, information security, or cloud security
  • 5+ years of experience designing and implementing security solutions in Amazon Web Services (AWS)
  • Experience leading client engagements, project workstreams, or delivery teams for cloud security or cyber transformation programs
  • Experience with AWS Identity and Access Management, network security, logging and monitoring, encryption, vulnerability management, and security architecture, including experience leading the development of security strategies, governance frameworks, and secure architectures for AI/ML, Generative AI, and Agentic AI workloads deployed on AWS, including services such as Amazon Bedrock and Amazon SageMaker
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • AWS Certified Security - Specialty, AWS Certified Solutions Architect, or similar cloud security certification
  • Experience with infrastructure as code tools such as Terraform or AWS CloudFormation
  • Experience with cloud security posture management, container security, or DevSecOps
  • Experience leading Machine Learning, Generative AI, or Agentic AI security programs, including risk assessments, governance frameworks, and secure architecture for platforms such as Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks
  • Experience advising clients on AI/ML security risk management, model and data protection, and guardrails for autonomous AI agents
  • Experience supporting cloud security programs in regulated environments, presenting recommendations to executive stakeholders, and contributing to proposals, statements of work, or business development efforts

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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