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Remote Generative Ai Engineer Jobs in Boston, MA

Motorola

Senior AI Engineer (US Remote)

Waltham, MA · Remote

$180K - $210K/yr

The Product Engineering area is responsible for designing, writing, testing and deploying the code ... Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building ...

NAVA Software Solutions

AI Engineer - Remote

Boston, MA · On-site +1

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top Requirements: * Implemented GraphRag in AI/ML products (production deployments). * Strong Azure cloud ...

YO AI Labs

AI Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

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 ...

New

YO AI Labs

AI Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

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 ...

New

Adidev Technologies Inc

ML/AI Engineers

Boston, MA · Remote

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ...

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All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Boston, MA

Remote Generative Ai Engineer information

See Boston, MA salary details

$41.3K

$125.9K

$208K

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

As of Aug 29, 2026, the average yearly pay for remote generative ai engineer in Boston, MA is $125,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $164,600.00 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 Boston, MA?

The most popular types of Generative Ai Engineer jobs in Boston, MA are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Boston, MA?

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

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

The top searched job categories for Remote Generative Ai Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Generative Ai Engineer jobs?

Cities near Boston, MA with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $125,875 per year, or $60.5 per hour.

Senior AI Engineer (US Remote)

Waltham, MA • On-site, Remote

Motorola Solutions, Inc.
Technology, Communication and Media • 10K+ employees

8.7

Company rating: 8.7 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

18th of 159 rated electronics manufacturers

Great coworkers

People enjoy working here

Good employer

Learn more about Motorola Solutions, Inc.external

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

Company Overview
At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Department Overview
Noggin, a Motorola Solutions company, is a leader in integrated resilience management technology, offering a next-generation, cloud-based platform that combines 10 essential solutions into one unified system. Our award-winning platform seamlessly integrates operational and third-party risk management, operational resilience, business continuity, incident and crisis management, emergency management, and security and safety operations.
The Product Engineering area is responsible for designing, writing, testing and deploying the code for our software products at Noggin.
Job Description
Join Motorola Solutions as a Senior AI Engineer and help shape the future of AI-powered products and services. Based in Sydney with hybrid flexibility, you'll work at the forefront of generative AI, building production-scale solutions using AWS Bedrock and cutting-edge AI technologies.
As a senior member of our AI engineering team, you'll provide technical leadership, mentor engineers, and drive best practices in GenAI implementation. You'll work directly with Product Management and Software Engineering teams to transform AI use cases from concept to production, ensuring quality, safety, and scalability at every step.
Tech Stack
Core AI Technologies:
  • AWS Bedrock (Models, Agents, Knowledge Bases, Guardrails)
  • OpenSearch & Vector Databases
  • RAG (Retrieval-Augmented Generation) architectures
  • Agentic frameworks (LangChain, LlamaIndex, or AWS Bedrock Agents)

Development Stack:
  • Python (AI/ML development & data processing)
  • NodeJS with TypeScript (backend services)
  • AWS ecosystem (S3, IAM, CloudWatch, etc.)

AI Engineering Practices:
  • Prompt engineering & optimization
  • Model evaluation & testing frameworks
  • AI observability & monitoring
  • Responsible AI & safety practices

Skills & Experience
Required:
  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5+ years in software development with 2+ years focused on production AI/GenAI systems
  • Deep, hands-on experience with AWS Bedrock, Knowledge Bases, and OpenSearch
  • Proven track record designing and implementing RAG architectures at scale
  • Proficiency in Python for AI/ML work and NodeJS/TypeScript for backend development
  • Experience with agentic frameworks and AWS Bedrock Guardrails
  • Strong understanding of AI/ML concepts: models, agents, embeddings, vector databases
  • Hands-on experience with prompt engineering and model evaluation methodologies
  • Knowledge of AI observability, monitoring, and responsible AI practices

Valued:
  • Experience with multi-modal AI capabilities
  • Familiarity with model distillation and cost optimization techniques
  • Background in AI safety, bias detection, or model explainability
  • Contributions to open-source AI projects or research publications

Key Responsibilities
  • Technical Leadership: Apply your expertise in GenAI, AWS Bedrock, and related technologies to drive architectural decisions and coach team members
  • End-to-End AI Development: Design, build, and refine AI use cases including guardrails, evaluation frameworks, and quality assurance
  • Collaboration: Partner with Product Management and Software Engineering teams to realize AI features from concept to production
  • Advisory Role: Provide technical guidance to management, team leads, and customers on AI implementation strategies
  • Community Engagement: Actively contribute to technology chapter meetings and knowledge sharing

What You'll Work On
  • Building production-scale GenAI applications using AWS Bedrock and foundation models
  • Implementing RAG systems with Knowledge Bases and vector search
  • Designing AI agents that can reason, plan, and execute complex workflows
  • Establishing prompt engineering best practices and evaluation pipelines
  • Ensuring AI safety through guardrails and responsible AI practices
  • Optimizing AI system performance, cost, and observability

Target Base Salary Range: $180,000 USD - $210,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
Note: Candidates located near the Waltham, MA office with the ability to work a hybrid schedule is preferred.
#LI-MP2
#LI-REMOTE
Basic Requirements
  • 8+ years experience in software development
  • AND 2+ years with AI/GenAI systems in production environments
  • AND 2+ years with AWS Bedrock
  • AND 2+ years with Python for AI/ML development
  • AND 2+ years with NodeJS/TypeScript for backend services
  • Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

Travel Requirements
Under 10%
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
No
Our U.S. Benefits include:
  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits
  • 401K with Company Match
  • 10 Paid Holidays
  • Generous Paid Time Off Packages
  • Employee Stock Purchase Plan
  • Paid Parental & Family Leave
  • and more!

EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
Motorola Solutions logo

About Motorola Solutions

Sourced by ZipRecruiter

At Motorola Solutions, we believe that everything starts with safety. It's the constant that empowers people to confidently move forward. It can fill a flight or sell out a stadium. It can care for a patient or graduate a class. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we're ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that matters.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1928

View All Motorola Solutions Jobs

What Motorola Solutions employees say

Pay

Benefits

Hours and flexibility

Workplace

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