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Senior Generative Ai Engineer Jobs in Remote, OR

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ...

AI Engineer

OR ยท On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ...

Temporary AI Engineer

OR ยท On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and ...

Lumen is seeking an experienced and hands-on Senior Lead Software Developer, AI Developer ... The ideal candidate should possess a strong understanding of generative AI principles, agentic AI ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Apply Generative AI tools to streamline development workflows and enhance product quality.

Machine Learning Engineer

OR ยท Remote

$100K - $200K/yr

... Generative AI technologies. We empower attorneys by automating essential workflows in personal ... Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining ...

Senior Lead Applied AI Scientist

OR ยท Remote

$176K - $220K/yr

In this role, you will partner with business, product, engineering, and technology leaders to ... Develop advanced AI systems leveraging machine learning, generative AI, retrieval, predictive ...

Infrastructure Engineer

OR ยท Remote

$100K - $200K/yr

... Generative AI technologies. We empower attorneys by automating essential workflows in personal ... Position Overview As an Infrastructure Engineer, you will play a pivotal role in building and ...

Senior Data Scientist

OR ยท Remote

$84K - $112K/yr

In this role, the successful candidate will leverage Databricks, Generative AI, and advanced ... What We Look For in a Candidate 3-5 years of experience in data science, data engineering ...

The Role At Lumen, the Senior Lead Software Developer, AI Developer Enablement, steps into an environment built on trust, accountability, and the opportunity to create meaningful impact. Working on ...

Senior Lead DevOps Engineer

OR ยท Remote

$121K - $156K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... The Senior Lead DevOps Engineer will play a critical role in bringing strategic vision to life by ...

Sr Lead Site Reliability Engineer

OR ยท Remote

$53.50 - $71/hr

The Senior Lead SRE requires an AI-native mindset, understands the software development lifecycle (from coding to support) and applies modern AI tools to enhance productivity, quality, and ...

Senior Lead Software Engineer

OR ยท Remote

$132K - $176K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... the Senior Lead Software Engineer thrives on solving complex challenges that create meaningful ...

Sr Operations Engineer

OR ยท On-site

$84K - $112K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... The Role Senior Engineer position requires a high degree of technical and coding competencies while ...

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Showing results 1-20

Senior Generative Ai Engineer information

See Remote, OR salary details

$59.4K

$126.4K

$183.3K

How much do senior generative ai engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for senior generative ai engineer in Remote, OR is $126,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,400.00 and $143,400.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior generative AI engineer or executive role, with compensation including salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require advanced skills in machine learning, deep learning, and experience with large language models or generative AI tools, and they are usually found in leading tech companies or AI-focused organizations.

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

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What is the salary of senior Generative AI developer?

The salary of a senior Generative AI engineer typically ranges from $120,000 to $180,000 annually, depending on experience, location, and company size. Professionals with expertise in deep learning frameworks and large language models may earn higher compensation, especially in competitive tech markets.

What does a Senior Generative AI Engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What engineer makes $500,000 a year?

Senior Generative AI engineers with extensive experience, advanced skills in machine learning, deep learning, and large language models can earn salaries approaching or exceeding $500,000 annually, especially in high-demand tech companies or competitive markets. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized expertise and impact on AI development projects.

What are some of the unique challenges Senior Generative AI Engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

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

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

Which 3 jobs will survive AI?

Senior Generative AI Engineers are likely to continue thriving as AI technology advances, focusing on developing and refining AI models. Other roles such as healthcare professionals and skilled tradespeople are also expected to remain in demand due to the need for human judgment, physical skills, and complex decision-making that AI cannot fully replicate. These jobs require specialized expertise, critical thinking, and adaptability that are less susceptible to automation.
What are popular job titles related to Senior Generative Ai Engineer jobs in Remote, OR? For Senior Generative Ai Engineer jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Senior Generative Ai Engineer jobs in Remote, OR look for? The top searched job categories for Senior Generative Ai Engineer jobs in Remote, OR are:
Infographic showing various Senior Generative Ai Engineer job openings in Remote, OR as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $126,432 per year, or $60.8 per hour.

AI Engineer

EM Key Solutions Inc

Myrtle Point, OR โ€ข Remote

Full-time

Posted 9 days ago


Job description

AI Engineer

Remote, USA; potential for minimal ad hoc travel

EMKS is seeking an AI Engineer to support the Department of Veterans Affairs (VA) Office of Information Technology (OIT). This position will lead the design, development, and implementation of Artificial Intelligence (AI), Generative AI, Machine Learning (ML), and intelligent automation solutions that enhance enterprise software engineering, testing, DevSecOps, and IT operations.

The successful candidate will collaborate with cross-functional teams to identify high-value AI opportunities, develop proof-of-concepts, and deliver secure, scalable, production-ready AI solutions aligned with VA AI governance and Trustworthy AI principles.

Duties/Responsibilities:

  • Design and develop AI-powered applications using Large Language Models (LLMs), Generative AI, and Machine Learning.
  • Build AI Copilots, AI Agents, and Retrieval-Augmented Generation (RAG) solutions to improve software engineering, testing, documentation, and operational workflows.
  • Develop intelligent automation solutions for test case generation, defect analysis, knowledge management, predictive analytics, and process optimization.
  • Integrate AI capabilities into enterprise applications, APIs, Azure cloud services, and DevSecOps pipelines.
  • Evaluate emerging AI technologies and rapidly develop Proofs of Concept (PoCs).
  • Collaborate with architects, engineers, testers, and business stakeholders to identify and implement innovative AI solutions.
  • Ensure all AI solutions comply with VA cybersecurity, privacy, accessibility, and Trustworthy AI requirements.

Required Qualifications:

  • 5+ years in overall software engineering experience.
  • 2+ years of hands-on experience developing AI, Machine Learning, or Generative AI solutions.
  • Strong programming experience with Python.
  • Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms.
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.
  • Experience building Retrieval-Augmented Generation (RAG) applications and AI Agents.
  • Experience developing REST APIs using FastAPI or similar frameworks.
  • Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud-native development.
  • Strong analytical, communication, and problem-solving skills.

Preferred Qualifications:

  • Experience supporting the U.S. Department of Veterans Affairs (VA) or other Federal agencies.
  • Experience with healthcare IT, EHRM, VistA, Oracle Health Millennium, FHIR, or HL7.
  • Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering.
  • Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

Education/Technical Skills:

  • Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field.
  • Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • Machine Learning • FastAPI • Azure AI Studio • Azure DevOps • Docker • Kubernetes • SQL • Git • REST APIs • Vector Databases

Clearance:

  • S. Citizenship is requiredas is successfully passing a thorough Government background screening (Public Trust) requiring the completion of detailed forms and fingerprinting.
  • Ability to obtain and maintain necessary security clearances as required for access to classified information.

About EM Key Solutions:

Founded in 2015, EM Key Solutions, Inc. (EMKS) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) offering a broad range of services to support Federal Government enterprises in meeting their mission requirements and business demands. ​Relationships are key to EMKS! We adopt a customer-centric approach and proven management processes for every project we undertake. Through sound leadership and management principles, EMKS focuses on offering its clients the solutions they need to be successful at the most competitive rates throughout the project management lifecycle.

If you are curious to learn more about EM Key Solutions, please visit our website at EMKS.com

EMKS is an Equal Opportunity Employer committed to hiring and retaining qualified and talented individuals. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

Reasonable Accommodation Requests

EM Key Solutions is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or accommodation while seeking employment, please e-mail careers@emks.com or call Human Resources at (727)-292-1521. We will make a determination on your request for reasonable accommodation on a case-by-case basis.

E-Verify

As a Federal Contractor, we are required to use E-Verify to validate employees' ability to work legally in the United States.

EEO is the Law

The law requires EM Key Solutions to post a notice describing the Federal laws prohibiting job discrimination.

Pay Transparency Non-Discrimination

EM Key Solutions will not discharge or, in any other manner, discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.

For information regarding your legal rights and protections, please click on the following link: State and Federal Labor Notices