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Generative Ai Engineer Jobs in Boston, MA (NOW HIRING)

Mirakl - AMER

Lead AI Engineer

Boston, MA · Hybrid

$111K - $146K/yr

You will combine deep AI engineering expertise with product and business understanding to identify ... Why Now, Why Mirakl Generative AI and AI Agents are fundamentally reshaping commerce software. At ...

MassMutual

Lead AI Engineer

Boston, MA

$172K - $225K/yr

You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous ... This team is defined by a shared commitment to scientific and engineering excellence, meaningful ...

Manulife

AI Engineer - Hybrid

Boston, MA · Hybrid

The ideal candidate is passionate about AI and technology, a lifelong learner, and someone who actively follows the latest trends in AI Engineering, ML Engineering, Generative AI, LLMs, cloud-native ...

Pwc

AI Engineer

Boston, MA · On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation. • Experienced backend engineer with a strong track ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

... generative AI and agentic AI applications into production, with expertise in prompt engineering, few-shot learning, fine tuning and evaluation. • Experienced backend engineer with a strong track ...

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

Generative Ai Engineer information

See Boston, MA salary details

$41.3K

$125.9K

$208K

How much do generative ai engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for 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 generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

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 Generative Ai Engineer jobs in Boston, MA?

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

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

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

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $121,883 per year, or $58.6 per hour.

Lead AI Engineer

Mirakl - AMER

Boston, MA • Hybrid

$111K - $146K/yr

Full-time

Posted 7 days ago

Job description

Mission

Lead the design, development, and adoption of AI systems within a strategic business domain. You will be part of the AI team, working inside one of our division (Marketing or finance for example) to lead their AI transformation.

You will combine deep AI engineering expertise with product and business understanding to identify high-impact opportunities, define roadmaps, and deliver measurable outcomes.

As the AI technical lead for your domain, you will drive architecture decisions, engineering excellence, and AI adoption across teams and stakeholders. Examples of domains include: Sales, GTM and Marketing or Finance & Legal

This is a permanent position (CDI) based in our Boston office, with 4 days on-site per week.

Why Now, Why Mirakl

Generative AI and AI Agents are fundamentally reshaping commerce software.

At Mirakl, AI is becoming a core part of our product strategy. From Catalog Transformer and content generation to AI Agents and Agentic Commerce, we are building the next generation of commerce software.

We are looking for a Senior AI Engineer to transform cutting-edge AI technologies into reliable, scalable, and measurable products used by leading enterprises worldwide.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it.What You'll Do1. Own AI Strategy for Your Domain
  • Define the AI vision and roadmap for your domain
  • Identify high-value opportunities with Product Managers and business leaders
2. Lead AI System Development
  • Design and build production-grade AI systems
  • Drive architecture decisions
  • Ensure scalability, reliability, and maintainability
3. Drive Adoption & Business Impact
  • Work closely with end users
  • Measure adoption and outcomes
  • Accelerate AI transformation across your domain
4. Establish Technical Excellence
  • Promote best practices for evaluation, testing, guardrails, and observability
  • Review designs and mentor engineers
  • Raise the quality bar across initiatives
5. Grow AI Capability
  • Mentor AI Engineers and Agent Builders
  • Share knowledge and reusable components
  • Build AI expertise within your organization
Success Metrics
  • Business impact delivered by AI initiatives
  • Adoption within the domain
  • Technical quality and reliability
  • Team capability growth
Profile
  • 7+ years in Software Engineering, ML Engineering, or Applied AI
  • Strong experience with LLMs, RAG, AI Agents, evaluation, and production systems
  • Ability to influence Product and Business decisions
  • Proven leadership on complex cross-functional initiatives

Tech Stack

  • Languages: Python and SQL
  • AI Stack: OpenAI, Anthropic, Gemini, Mistral and Open-source models
  • Agentic & Retrieval: LangGraph, LangChain, LlamaIndex, MCP and Vector Databases
  • Infrastructure: AWS or GCP, Docker and Kubernetes

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

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