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Gen Ai Developer Jobs in Boston, MA (NOW HIRING)

Roku

Engineering Manager, Ad Serving

Boston, MA · On-site

$360K - $440K/yr

Lead initiatives to significantly improve developer productivity by streamlining development ... You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · Hybrid

Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications * Siemens Partnership ...

Xometry

Principal Data Scientist - Gen AI

Waltham, MA · On-site

Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications * Siemens Partnership ...

Merlin Labs

Director, AI Core Software

Boston, MA · On-site

$274K/yr

... gen AI model training and deployment, or onboard inference systems. * Strong command of modern software engineering practices including AI model distillation, MLOps, CI/CD, rigorous testing ...

Roku

Senior Software Engineer, Ad Serving

Boston, MA · On-site

$195K - $352K/yr

The mission of the Ad Engineering Team is to build this platform. We are hiring a Senior Software ... You have either 1) tried Gen AI in your previous work or outside of work or 2) are curious about ...

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Showing results 21-40

All JobsGen Ai Developer JobsGen Ai Developer Jobs in Boston, MA

Gen Ai Developer information

See Boston, MA salary details

$20

$49

$109

How much do gen ai developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for gen ai developer in Boston, MA is $49.20, according to ZipRecruiter salary data. Most workers in this role earn between $25.58 and $59.52 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What are the key skills and qualifications needed to thrive as a Gen AI developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

What are popular job titles related to Gen Ai Developer jobs in Boston, MA?

For Gen Ai Developer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Gen Ai Developer jobs in Boston, MA look for?

The top searched job categories for Gen Ai Developer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Gen Ai Developer jobs?

Cities near Boston, MA with the most Gen Ai Developer job openings:

Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Boston, MA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $102,326 per year, or $49.2 per hour.

AI Solutions Engineer - ERP Systems

Federal Reserve Bank of Richmond

Boston, MA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago

Job description

CompanyFederal Reserve Bank of RichmondWhen you join the Federal Reserve-the nation's central bank-you'll play a key role, collaborating with a dynamic and diverse team of mission-driven professionals to strengthen and protect our economy and our communities.
Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life. In addition to competitive compensation, we offer a comprehensive benefits package that includes tuition assistance, generous paid time off, top-notch health care benefits, child and family care leave, professional development opportunities, a 401(k) match, pension, and more. All brought together in a flexible work environment where you can truly find balance.
Onsite presence is required.

About the Opportunity

The Enterprise Resources Planning department has an immediate opening for an AI Solutions Engineer, reporting to Senior Manager - Product Manager.

The Enterprise Resource Planning (ERP) Support Office seeks an AI Solutions Engineer with Cloud experience to bring AI innovation across our enterprise while building the Platform-as-a-Service (PaaS) foundation that enables it. This is a ground-floor opportunity to be a part of driving how AI transforms HR, finance, and procurement-while establishing the cloud platform capabilities needed to scale those solutions.

You'll begin by deploying and configuring native AI features within ERP vendor platforms (intelligent agents, assistants, automation), then progressively build the platform capabilities needed for custom AI applications, advanced integrations, and end-to-end automation solutions that connect across the enterprise. Your cloud engineering experience will be instrumental in developing deployment pipelines and engineering processes as we mature our PaaS capabilities.

This is a fully onsite position located in Richmond, Boston and Kansas District location.

What You Will Do:

  • Translate business and operational challenges into practical AI opportunities and technical solutions

  • Deploy and configure AI capabilities in ERP platforms and products such as Workday and SAP Ariba (AI agents, assistants, automation features)

  • Build custom AI solutions including intelligent agents, chatbots and automation leveraging Gen AI and LLMs as platform maturity increases

  • Define and document technical specifications for deploying ERP and AI solutions and capabilities.

  • Lead AI projects from concept to production, ensuring business alignment and measurable ROI

  • Enable PaaS environments within Workday and SAP to support AI deployments and future custom development

  • Help develop deployment pipelines and engineering processes as we establish PaaS services, bringing your cloud engineering expertise

  • Configure and integrate platform services, security, and governance with corporate cloud computing services and other business systems

  • Assess emerging technologies and recommend adoption approaches, contributing to the ERP technology roadmap

  • Evaluate vendor AI capabilities versus custom solutions based on requirements and total cost of ownership

  • Champion AI literacy through training, demonstrations, and knowledge sharing across the organization

  • Provide production support and knowledge training for solutions you deploy

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field

  • 10+ years in IT/software engineering with hands-on experience in corporate/industry environments

  • Proven track record deploying AI solutions to production in corporate settings (traditional AI, Gen AI, or agentic AI)

  • 3+ years with enterprise cloud platforms (Workday, SAP, Oracle, Salesforce, or similar) in technical or configuration capacity

  • Strong communication skills to explain complex or technical concepts to non-technical stakeholders, especially with regards to AI solutions

  • Experience with deployment pipelines, CI/CD, or DevOps practices

  • Hands-on experience deploying AI/ML solutions including Machine Learning, Gen AI, LLMs, AI agents, or chatbots to production

  • Platform configuration expertise with enterprise SaaS/PaaS systems or experience with IaaS environments

  • Integration skills: RESTful APIs, webhooks, data flows, authentication (OAuth, SAML)

  • Data management: SQL, data pipelines, data quality assessment

  • Programming proficiency in Python

Preferred Qualifications

  • Hands-on experience with Workday AI, SAP AI capabilities, or similar vendor-embedded AI

  • Knowledge or experience with Workday Extend, SAP BTP, or similar platforms for custom development

  • Process workflow automation knowledge/experience

  • DevOps/MLOps experience building CI/CD pipelines and automation frameworks

  • Cloud platform experience (AWS, Azure, GCP) and AI/ML services and frameworks

  • Domain knowledge in HR, finance, or procurement

  • AI/ML or cloud certifications

Discover the Reason Why So Many People Love It Here!

When you join the Richmond Fed, not only will you find a challenging and purposeful career, you'll also have access to a wide range of benefits and perks that support your health and wealth, including:

  • Great medical benefits

  • Pension and 401(k) with employer match

  • Paid time off

  • Tuition reimbursement

  • Paid volunteer leave

  • Onsite amenities that make working here fun!

Other Requirements and Considerations:

  • Candidates should review the Bank's Employee Code of Conduct to ensure compliance with conflict of interest rules and personal investment restrictions.

  • If you need assistance or an accommodation due to a disability, please notify rich.recruit@rich.frb.org.

  • Sponsorship is not available for this role. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Eligibility for this specific position requires U.S. Citizenship.

  • The hiring salary range is $133,000 - $183,000 annually.

  • For candidates located outside of Richmond, VA, the listed hiring and salary ranges may be adjusted based on your geographic location.

  • Salary offered will be based on the job responsibilities and the individual's knowledge, skills, and experience as defined in the job qualifications.

  • Applications are reviewed on a rolling basis.

  • Always verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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