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Remote Generative Ai Engineer Jobs in Seattle, WA

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... Experience using generative AI or AI agents in professional workflows. * Experience integrating BI ...

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... Experience using generative AI or AI agents in professional workflows. * Experience integrating BI ...

Senior Backend Engineer - AI Platform

Seattle, WA · On-site +1

$139K - $183K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX ...

AI Engineer, Ecosystem

Seattle, WA · On-site +1

$171K - $240K/yr

AI at Brex AI Engineering at Brex is redefining how businesses run their finances by building ... As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own Brex ...

Senior Backend Engineer - AI Platform

Seattle, WA · On-site +1

$139K - $183K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Operating at the vanguard of generative AI, distributed systems, and fintech, you will empower WEX ...

DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to ... engineers to focus on higher-order problems. This is a fully remote position. The program runs ...

DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to ... engineers to focus on higher-order problems. This is a fully remote position. The program runs ...

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

Showing results 21-40

Remote Generative Ai Engineer information

See Seattle, WA salary details

$43.2K

$131.9K

$217.9K

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

As of Sep 2, 2026, the average yearly pay for remote generative ai engineer in Seattle, WA is $131,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $172,400.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a remote generative AI engineer?

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 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.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What are the most commonly searched types of Generative Ai Engineer jobs in Seattle, WA?

The most popular types of Generative Ai Engineer jobs in Seattle, WA are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Seattle, WA?

For Remote Generative Ai Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Seattle, WA look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Generative Ai Engineer jobs?

Cities near Seattle, WA with the most Remote Generative Ai Engineer job openings:

Infographic showing various Remote Generative Ai Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $131,857 per year, or $63.4 per hour.

Senior Staff Machine Learning Engineer

Geico

Seattle, WA • Remote

Full-time

Re-posted 13 days ago


GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 366 frontline employees who took The Breakroom Quiz

170th of 315 rated insurance


Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

GEICO is seeking a Senior Staff AI engineer to join our AI org. This person will play key senior technical leadership roles in the development of Geico's virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy platform that ensure productivity, scalability and usability of GenAI workflows across Geico. The ideal candidate should demonstrate a proven track record of building and architecting high performance, multi-system AI/ML platforms, with hands-on experience and deep enthusiasm for Generative AI technologies. This role requires a minimum of 10 years of relevant experience.
Responsibilities:
Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, prompt management, workflow orchestration, action execution systems, semantic knowledge graph, etc.
System & Platform Evaluation: Own technical decisions regarding the selection and evaluation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, future extensibility, etc.
Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
Strategic Planning: Drive the strategic plan and multi-year product roadmaps of software & platform products, ensuring the efficient allocation of resources and timely delivery of solutions in conjunction of system and business dependencies.
Technical Leadership: Lead teams of experience engineers for platform implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability. Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
Mentorship: Mentor and guide engineers and junior tech leads by setting up engineering best practices, foster career growth, and provide guidance in emerging technical trends and tooling. Collaborate with sr. tech leads in other department to promote enterprise-wide AI best practices and contribute to internal documentations.
Minimum Qualifications
Bachelor's degree or above in Computer Science, Engineering, Statistics or a related field
10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
10+ years of experience architecting, designing and building multi-component AIML platform utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), robotic process automation, context management, etc.
6+ years' experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
6+ years' experience with cloud providers such as Azure and AWS
3+ years' experience utilizing and/or finetuning LLMs such as GPT, Llama, Mistral, Claude etc. to build conversational experiences and/or agentic workflows
GEICO is seeking a Senior Staff AI engineer to join our AI org. This person will play key senior technical leadership roles in the development of Geico's virtual agent platform that elevates the productivity and quality of service for 20K+ contact center employees in claims, service and sales operations, etc. You will be collaborating with a dynamic team of AI and software engineers to design, develop and deploy platform that ensure productivity, scalability and usability of GenAI workflows across Geico. The ideal candidate should demonstrate a proven track record of building and architecting high performance, multi-system AI/ML platforms, with hands-on experience and deep enthusiasm for Generative AI technologies. This role requires a minimum of 10 years of relevant experience.
Responsibilities:
Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Examples include knowledge curation & management, search, prompt management, workflow orchestration, action execution systems, semantic knowledge graph, etc.
System & Platform Evaluation: Own technical decisions regarding the selection and evaluation of software technologies, tools, and frameworks, balancing build vs. buy, speed to market, future extensibility, etc.
Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs. Establish pragmatic technical visions & roadmaps that balance business outcome, product release timelines and engineering excellence.
Strategic Planning: Drive the strategic plan and multi-year product roadmaps of software & platform products, ensuring the efficient allocation of resources and timely delivery of solutions in conjunction of system and business dependencies.
Technical Leadership: Lead teams of experience engineers for platform implementation. Troubleshoot and resolve complex software issues, ensuring optimal platform performance and reliability. Lead by example in tackling complex technical challenges and driving system-wide architectural improvements.
Mentorship: Mentor and guide engineers and junior tech leads by setting up engineering best practices, foster career growth, and provide guidance in emerging technical trends and tooling. Collaborate with sr. tech leads in other department to promote enterprise-wide AI best practices and contribute to internal documentations.
Minimum Qualifications
Bachelor's degree or above in Computer Science, Engineering, Statistics or a related field
10+ years of professional software development experience with at least two general-purpose programming languages such as Java, C++, Python or C#.
10+ years of experience architecting, designing and building multi-component AIML platform utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data warehouse (e.g. snowflake), streaming platform (e.g. Kafka), relational database (e.g. postgresql), Nosql (e.g. MongoDB, Cassandra), distributed processing (e.g. Spark, Ray), workflow management (e.g. Airflow, Temporal), robotic process automation, context management, etc.
6+ years' experience managing end-to-end software development life cycle (version control, CICD pipelines, Kubernetes clusters, testing, monitoring & alerting, production support etc.)
6+ years' experience with cloud providers such as Azure and AWS
3+ years' experience utilizing and/or finetuning LLMs such as GPT, Llama, Mistral, Claude etc. to build conversational experiences and/or agentic workflows


Annual Salary

$150,000.00 - $300,000.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.


The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


What GEICO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


GEICO logo

About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936