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Remote Generative Ai Engineer Jobs in Oregon (NOW HIRING)

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to ... Experience designing, building, and deploying AI/ML or Generative AI solutions in production ...

AI Red Teamer

OR · On-site +1

... generative AI models and applications built on top of them. * Collaborate with data scientists, engineering, and research teams to design and implement novel attacks and relate them back to ...

Lead Forward Deployed Engineer (FDE)

OR · On-site +1

$102K - $134K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident required LTS is seeking a ... Experience designing, building, and deploying AI/ML or Generative AI solutions in production ...

This is a remote opportunity and we would be interested in applicants from USA time zones only at this time. Staff AI Engineer The Opportunity: Grafana's Revenue Operations organization is looking ...

AI Engineer

$150K - $175K/yr

For remote positions, all candidates must complete a video screen with our corporate recruiting ... Design and build AI-powered workflows and agents using Power Platform and Copilot Studio

Forward Deployed AI Engineer

OR · Remote

$103K - $139K/yr

Remote with travel (~25%) Reports to: Global AI Center of Excellence Lead Role Overview NewRocket is seeking a Forward Deployed AI Engineer to join the AI Foundry team and work directly with ...

Staff AI Engineer

OR · Remote

$145K - $210K/yr

This is a blend of applied AI engineering and backend systems work, well suited to someone who has ... As a remote-first company, Unqork incorporates a geographic differential into our compensation ...

Senior Software Engineer

OR · Remote

$122K - $161K/yr

Senior Software Engineer Remote (US) | Reports to: Sr. Manager of Engineering About the Role 15Five ... Our AI ecosystem blends generative AI, predictive models, and structured people data to deliver ...

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and ...

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

Senior AI Engineer | US | Remote

OR · Remote

$55.25 - $71.25/hr

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Senior Engineer (AI & Automation) to own the AI agent infrastructure and ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Apply Generative AI tools to streamline development workflows and enhance product quality ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

... remote audience and managing a fast-paced learning environment. * The Credentials: AZ-900 and AI-900 are required; AI-102 is strongly preferred. * Preferred Background: Experience as an AI Engineer ...

Sr. Software Engineer - AI Innovation Team

OR · On-site +1

$110K - $204K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Work with evolving AI technologies, from generative AI to modern ML pipelines and cloud platforms.

... NLP, generative AI, or voice AI. * Deep experience with model evaluation, benchmarking, error ... Remote work setup budget or work-from-home stipend * Monthly wellness and communication allowance

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Remote Generative Ai Engineer information

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a Remote Generative AI Engineer, and why are they important?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do Remote Generative AI Engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a Remote Generative AI Engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What are the most commonly searched types of Generative Ai Engineer jobs in Oregon? The most popular types of Generative Ai Engineer jobs in Oregon are:
What are popular job titles related to Remote Generative Ai Engineer jobs in Oregon? For Remote Generative Ai Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Engineer jobs in Oregon look for? The top searched job categories for Remote Generative Ai Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Generative Ai Engineer jobs? Cities in Oregon with the most Remote Generative Ai Engineer job openings:
Senior Forward Deployed Engineer (FDE)

Senior Forward Deployed Engineer (FDE)

LTS

OR • On-site, Remote

$104K - $143K/yr

Other

Posted 20 days ago


Job description

Location: Remote (U.S.)

Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to obtain a Public Trust

LTS is seeking a Senior Forward Deployed Engineer (FDE) to lead the design, development, and deployment of AI-powered software solutions that solve complex business and mission challenges. This is a highly customer-facing role that combines software engineering, AI/ML expertise, technical leadership, and solution architecture to rapidly deliver innovative, production-ready solutions.

The ideal candidate is an experienced engineer who excels in ambiguous environments, partners effectively with executive and technical stakeholders, and leads cross-functional teams through the full solution lifecycle. Senior Forward Deployed Engineers serve as trusted advisors to customers while remaining hands-on in solution delivery, mentoring engineering teams, and helping shape technical strategy across engagements.

What You'll Do:

Customer Engagement & Technical Leadership

  • Partner directly with customer stakeholders to understand business objectives, operational challenges, and technical requirements.
  • Translate complex customer needs into scalable AI-enabled software solutions.
  • Lead technical discovery sessions, architecture workshops, and solution design discussions.
  • Collaborate with customer leadership, product owners, architects, and engineering teams to drive successful project outcomes.
  • Serve as a trusted technical advisor throughout solution implementation and deployment.
  • Build and maintain strong customer relationships while managing expectations and ensuring successful delivery.
  • Guide customers in adopting AI technologies and modern engineering best practices.
  • Mentor engineering teams and promote technical excellence across engagements.

Solution Engineering

  • Design, develop, test, and deploy AI-enabled applications, intelligent automation solutions, and modern software platforms.
  • Build scalable backend services, APIs, integrations, and workflows using modern software engineering practices.
  • Develop solutions utilizing large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and other emerging AI technologies where appropriate.
  • Design secure, scalable, and maintainable architectures that balance performance, reliability, governance, and cost.
  • Deliver clean, production-quality, well-tested, and well-documented code.
  • Implement CI/CD pipelines, automated testing, monitoring, logging, and observability.
  • Develop reusable frameworks, software components, documentation, and engineering accelerators that improve delivery across projects.

Delivery & Practice Leadership

  • Lead technical workstreams and provide engineering leadership across multiple projects.
  • Support solution planning, estimation, architecture reviews, and technical decision-making.
  • Mentor junior and mid-level engineers through design reviews, code reviews, and technical coaching.
  • Contribute to proposals, technical presentations, demonstrations, proof-of-concepts (POCs), and customer solution workshops.
  • Help establish engineering standards, best practices, and reusable intellectual property across the organization.
  • Stay current on emerging AI technologies, cloud platforms, software engineering trends, and industry best practices.

What We're Looking For:

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline (or equivalent experience).
  • 5+ years of experience in software engineering, AI engineering, machine learning, data engineering, or related technical roles.
  • Experience designing and developing modern software applications using one or more programming languages such as Python, Java, C#, JavaScript, or TypeScript.
  • Experience designing, building, and deploying AI/ML or Generative AI solutions in production environments.
  • Experience leading technical workstreams and translating complex business requirements into scalable technical solutions.
  • Experience developing REST APIs, microservices, distributed systems, or enterprise integrations.
  • Experience working with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, or hybrid cloud environments.
  • Experience with CI/CD pipelines, version control, automated testing, and DevOps practices.
  • Strong customer-facing communication, presentation, and consulting skills.
  • Proven ability to lead technical teams in fast-paced, agile delivery environments.
  • Ability to travel as required by project needs.

Nice To Have:

  • Experience developing Generative AI applications using LLMs, Retrieval-Augmented Generation (RAG), agentic AI, intelligent automation, or multi-agent systems.
  • Experience with vector databases, embeddings, prompt engineering, model evaluation, AI governance, or AI safety practices.
  • Experience implementing MLOps or LLMOps practices including model deployment, monitoring, evaluation, and lifecycle management.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with modern data engineering technologies including Spark, Airflow, Kafka, streaming platforms, or enterprise data architectures.
  • Experience integrating enterprise systems through APIs, event-driven architectures, or messaging platforms.
  • Familiarity with security, privacy, governance, and compliance best practices.
  • Experience supporting federal, healthcare, defense, or other regulated industry customers.
  • Experience contributing to business development activities, technical proposals, solution demonstrations, or proof-of-concepts.
  • Experience mentoring engineers and building reusable engineering frameworks, accelerators, or technical assets.

What's in it for you? 

  • The opportunity to support high visibility federal missions in IT and healthcare
  • A culture that values innovation, growth, collaboration, and quality
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together!