ZipRecruiter

Log In

2

Remote Generative Ai Jobs in Remote, OR (NOW HIRING)

Lumen Technologies

Lead Software Developer

OR · On-site +1

$108K - $136K/yr

Generative AI (Preferred) * Vertex AI (Preferred) * Firestore, BigQuery (Preferred) * MLOps/AIOps ... Bonus Structure #LI-Remote #LI-VK1 Requisition #: 342469 Background Screening If you are selected ...

Under Armour, Inc.

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 ...

Lumen Technologies

Director HR Solutions

OR · Remote

Work Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main ... Demonstrated working knowledge of generative AI and AI agents, including their impact on workforce ...

Atos

Apps AI Solution Architect AMS

OR · Remote

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... including Generative and Agentic AI) across the full application lifecycle - from design and ...

Atos

Apps AI Solution Architect AMS

OR · On-site +1

$59 - $77.75/hr

North America (Remote) Role Summary The Apps AI Architect will play a pivotal role in transforming ... including Generative and Agentic AI) across the full application lifecycle - from design and ...

All JobsGenerative Ai JobsRemote Generative Ai JobsRemote Generative Ai Jobs in Remote, OR

Remote Generative Ai information

See Remote, OR salary details

$16K

$148.1K

$190.8K

How much do remote generative ai jobs pay per year?

As of Jul 7, 2026, the average yearly pay for remote generative ai in Remote, OR is $148,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $145,400.00 and $167,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote Generative AI professionals and how can they be addressed?

Remote Generative AI professionals often face challenges such as collaborating effectively across time zones, ensuring data security, and staying updated with rapidly evolving AI technologies. To overcome these, it's important to establish clear communication channels, utilize version control and collaboration tools, and participate in regular team meetings. Additionally, investing time in continuous learning through online courses and AI research communities can help professionals stay current with industry advancements.

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

To thrive as a Remote Generative AI Specialist, you need strong expertise in machine learning, deep learning, and programming languages like Python, often supported by a degree in computer science or a related field. Proficiency with frameworks such as TensorFlow or PyTorch, cloud platforms, and relevant certifications (e.g., Google Cloud ML Engineer) is highly beneficial. Effective problem-solving, self-motivation, and clear communication are crucial for collaborating remotely and driving innovative AI solutions. These skills ensure you can develop, deploy, and improve generative AI models efficiently in distributed work environments.

Is generative AI a good career?

A career in generative AI offers opportunities in developing and deploying AI models, requiring skills in machine learning, programming, and data analysis. The field is growing rapidly with high demand for expertise, making it a promising option for those interested in AI technology and innovation.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such roles are rare and generally found in large tech companies or specialized AI firms.

Which 3 jobs will survive AI?

For a Remote Generative AI role, jobs that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as AI ethics specialists, creative content creators, and AI trainers or annotators. These roles involve nuanced decision-making, understanding context, and overseeing AI outputs, which are difficult to fully automate. Skills in critical thinking, domain expertise, and collaboration will remain valuable in AI-related fields.

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

AspectRemote Generative AiData Scientist
Required CredentialsKnowledge of AI/ML, programming skills, familiarity with NLP and deep learningStatistics, programming, data analysis, often a degree in CS, stats, or related fields
Work EnvironmentRemote, collaborative teams, AI research labs, tech companiesRemote or on-site, data analysis teams, research or business units
Industry UsageDeveloping AI models, creating generative content, NLP applicationsAnalyzing data, building predictive models, informing business decisions

Remote Generative Ai specialists focus on creating AI models that generate content, requiring expertise in AI/ML and programming. Data Scientists analyze data to extract insights and build models, often with similar technical backgrounds. While both roles may work remotely and in tech industries, their core functions differ: one develops generative AI systems, the other interprets data for strategic insights.

Can you work in AI remotely?

Remote Generative AI roles are common in the industry, allowing professionals to work from various locations. These jobs typically require strong skills in machine learning, programming, and familiarity with AI tools, and often involve collaboration through online platforms. Many companies offer flexible schedules and remote work arrangements for AI specialists.

What is a Remote Generative AI job?

A Remote Generative AI job involves working with artificial intelligence systems that can create new content, such as text, images, or music, from data. These roles are performed remotely, allowing professionals to work from anywhere while developing, training, and deploying generative models like GPT or DALL-E. Job responsibilities may include data preparation, model training, evaluation, and integrating generative AI solutions into products or services. Professionals in this field often collaborate with teams online using cloud-based tools and communication platforms.
What are the most commonly searched types of Generative Ai jobs in Remote, OR? The most popular types of Generative Ai jobs in Remote, OR are:
What are popular job titles related to Remote Generative Ai jobs in Remote, OR? For Remote Generative Ai jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai jobs in Remote, OR look for? The top searched job categories for Remote Generative Ai jobs in Remote, OR are:
What cities near Remote, OR are hiring for Remote Generative Ai jobs? Cities near Remote, OR with the most Remote Generative Ai job openings:
Remote Generative Ai jobs near you
Lead Software Developer

Lead Software Developer

Lumen Technologies

OR • On-site, Remote

$108K - $136K/yr

Other

Medical, Life

Posted 13 days ago

Lumen Technologies rating

8.6

Company rating: 8.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

5th of 80 rated telecommunications companies

Job description

Lumen is the trusted network for AI. We're transforming how businesses connect, secure, and scale in an AI-driven world.

By connecting people, data, and applications quickly, securely, and effortlessly, we help organizations move faster and unlock what's next.

At Lumen, people power progress. Our culture is built on teamwork, trust, and transparency, giving you the flexibility, support, and opportunity to make a lasting impact. We're looking for top-tier talent ready to take on the challenge. Join us in building the future.

The Role

As a Senior Lead Software Engineer, you will be at the forefront of our AI initiatives, leading the design, development, and implementation of cutting-edge AI solutions. You will work closely with cross-functional teams to drive innovation and ensure the successful delivery of AI projects. Your expertise will be crucial in shaping the future of our AI capabilities and driving business value through advanced technologies.

Location

This role is designated as a fully remote position within the United States.

The Main Responsibilities
  • AI Solution Development: Lead the end-to-end design, development, testing, deployment, and ongoing support of sophisticated conversational AI solutions.
  • Project Leadership: Oversee AI projects from conception to deployment, ensuring timely delivery and alignment with business objectives.
  • Collaboration: Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions that meet their needs.
  • Innovation: Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to drive continuous improvement and innovation within the team.
  • Mentorship: Provide technical guidance and mentorship to junior AI engineers, fostering a culture of learning and growth.
  • Performance Optimization: Optimize AI models for performance, scalability, and reliability, ensuring they meet the highest standards of quality.
  • Documentation: Create and maintain comprehensive documentation for AI models, algorithms, and processes to ensure transparency and reproducibility.
  • Integration: Integrate conversational agents seamlessly with backend APIs, databases (like Firestore), CRM systems, and other enterprise platforms within the GCP ecosystem.
  • Advanced Capabilities: Explore and implement advanced capabilities, potentially including Generative AI features available through Agent Builder and Vertex AI, to enhance conversational intelligence.
  • MLOps/AIOps Practices: Establish and maintain comprehensive MLOps/AIOps practices for conversational AI models on GCP, encompassing model monitoring, continuous integration/delivery (CI/CD), versioning, scalability, and robust alerting.
  • System Health Monitoring: Design and implement systems to collect, analyze, and leverage IT telemetry data and logs (using tools like Google Cloud Monitoring/Logging) for proactive alerting and monitoring of AI system health, performance, and potential issues.
  • Performance Metrics: Analyze and optimize conversational AI solutions for key performance metrics including latency, accuracy, user satisfaction, operational cost, and reliability on GCP.
  • Knowledge Sharing: Mentor junior engineers, share knowledge, and contribute to establishing best practices for conversational AI development within the organization.
What We Look For in a Candidate

Required Qualification:

  • Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a closely related technical field.
  • Experience: Minimum of 7 years of professional software engineering experience, with at least 4 years specifically focused on developing and deploying AI/ML solutions.
  • Technical Skills:
    • Python Programming
    • Dialogflow (CX/ES), Agent Builder , Conversational Agents
    • Google Cloud Platform (GCP)
    • Core AI/ML Concepts
    • Familiarity with Copilot Studio and Goodle ADK development
    • Generative AI (Preferred)
    • Vertex AI (Preferred)
    • Firestore, BigQuery (Preferred)
    • MLOps/AIOps (Preferred)
    • Backend API Integration
    • Familiarity with building agentic systems
  • Non-Technical Skills:
    • Team Leadership
    • Cross-Functional Collaboration
    • Strong Communication
    • Problem-Solving
    • Strategic Thinking
    • Responsible AI (Familiarity)
  • Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate complex business requirements into AI solutions.
  • Communication: Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to non-technical stakeholders.
  • Leadership: Demonstrated leadership abilities, with experience in mentoring and guiding junior engineers.
  • Passion for AI: A deep passion for AI and a commitment to staying current with the latest industry trends and advancements.

Preferred Qualifications:

  • Experience contributing to or utilizing an integrated Generative AI platform on GCP designed to streamline the end-to-end lifecycle of AI applications, from development and experimentation to robust deployment and monitoring.
  • Hands-on experience with key components of modern AI/ML infrastructure and data stacks within the Google Cloud ecosystem, specifically including Vertex AI Vector Search, Firestore, Vertex AI Model Registry, and BigQuery.
Compensation

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

Location-Based Pay Ranges:

$105,786 - $141,047 in these states: AL  AR  AZ  FL  GA  IA  ID  IN  KS  KY  LA  ME  MO  MS  MT  ND  NE  NM  OH  OK  PA  SC  SD  TN  UT  VT  WI  WV  WY

$111,074 - $148,099 in these states: CO  HI  MI  MN  NC  NH  NV  OR  RI

$116,364 - $155,152 in these states: AK  CA  CT  DC  DE  IL  MA  MD  NJ  NY  TX  VA  WA

Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Learn more about Lumen's:

  • Benefits
  • Bonus Structure

#LI-Remote

#LI-VK1

Requisition #: 342469

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen's Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

What Lumen Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Lumen Technologies logo

About Lumen Technologies

Sourced by ZipRecruiter

Lumen Technologies, headquartered in Monroe, LA, US, is a leader in the telecommunications industry. The company provides an array of solutions ranging from voice, broadband, and video services for consumers, businesses, and governmental agencies. Additionally, they offer data management, cloud, network, and IT services for enterprise customers. Lumen Technologies was founded in 1930, originally as the Louisiana Long Distance Independent Telephone Company. The company’s mission is to further human progress through technology, promoting a robust digital ecosystem, which is reflective of their core values of trust, respect, and innovative problem-solving that aims to have a significant impact on their clients' businesses.

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Monroe, LA, US

Year founded

1968

Social media

FacebookTwitter

View All Lumen Technologies Jobs

Apply