AI Engineer Jobs in Massachusetts
AI Engineer jobs in Massachusetts are among the most active in the country, concentrated in life sciences AI, enterprise software, robotics, and defense technology across seniority levels from entry-level to principal. Boston, Cambridge, and Burlington are the state's primary hiring centers, home to long-established employers like MathWorks, Raytheon Technologies, and IBM. The most in-demand specializations are large language model development, MLOps, and computer vision. Find a role that fits below and apply directly.
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About the Role
We are looking for an AI Engineer to join our AI Engineering team focused on designing, building, and deploying intelligent AI assistants powered by Google Cloud Platform (GCP) and Vertex AI. You will work at the intersection of large language models, cloud infrastructure, and product engineering to deliver conversational AI experiences that drive real business value.
What You'll Do
Design and develop AI assistants using Vertex AI, including model selection, prompt engineering, grounding, retrieval-augmented generation (RAG), and agent orchestration.
Build intelligent, multi-step AI agents using the Google Agent Development Kit (ADK), designing agent architectures with tool use, sub-agents, callbacks, and session management for complex conversational workflows.
Develop and integrate applications using the Google Cloud AI/ML SDKs (Vertex AI SDK for Python, Google Gen AI SDK) for programmatic access to foundation models, embeddings, tuning, and prediction endpoints.
Design agentic architectures leveraging ADK's orchestration capabilities including sequential agents, loop agents, parallel agents, and custom agent hierarchies to handle multi-turn, multi-domain use cases.
Implement tool and function calling patterns within ADK agents, connecting them to enterprise APIs, databases, and external services to enable grounded, domain-specific responses.
Implement responsible AI practices including safety filters, bias detection, guardrails, hallucination mitigation, and content moderation.
Architect scalable, production-grade solutions using Vertex AI Agent Builder, Vertex AI Search, Cloud Run, Cloud Functions, Pub/Sub, BigQuery , and other GCP services.
Develop evaluation and monitoring frameworks to measure assistant quality, latency, cost, and user satisfaction in production — including ADK's built-in evaluation and tracing capabilities.
Collaborate with product managers, data engineers, and business stakeholders to translate requirements into AI-powered solutions.
Stay current with the rapidly evolving AI landscape, evaluate emerging models, tools, and techniques, and recommend adoption where appropriate .
Required Qualifications
Bachelor's or Master's degree in Computer Science , Machine Learning, Data Science, or a related field (or equivalent practical experience).
5 + years of experience in software engineering, with at least 2+ years focused on AI/ML or LLM-based agentic development.
Hands-on experience with Google Cloud Platform services, particularly BigQuery , Cloud Storage, Cloud Run, or Cloud Functions.
Hands-on e xperience with Vertex AI Agent Builder , Vertex AI Search, or Dialogflow CX.
Hands-on experience Experience with Google Cloud SDKs (Vertex AI SDK, Google Gen AI SDK) for model invocation, tuning, and deployment workflows.
Strong proficiency in Python and familiarity with ML/AI frameworks and libraries (e.g., LangChain , LlamaIndex , TensorFlow, PyTorch ).
Experience building agentic applications that leverage large language models (LLMs) — including prompt engineering, function calling, embeddings, and retrieval-augmented generation.
Solid understanding of API design , microservices architecture, and cloud-native development patterns.
Familiarity with version control (Git) , CI/CD pipelines, and Infrastructure as Code (e.g., Terraform, Cloud Build).
Preferred Qualifications
Google Cloud certifications (e.g., Professional Machine Learning Engineer, Professional Cloud Architect).
Exposure to multi-agent architectures , tool-use patterns, and agentic AI frameworks.
Experience with vector databases (e.g., Vertex AI Vector Search, AlloyDB , Pinecone, Weaviate ) and embedding-based retrieval.
Knowledge of MLOps practices including experiment tracking, model versioning, A/B testing, and monitoring in production.
Experience working in regulated industries (healthcare, finance, insurance) with an understanding of data privacy and compliance requirements.
Minimum Education Requirements:
High school degree or equivalent required unless otherwise noted above
Location Boston, Hingham Time Type Full time
Salary Range: $140,310.00 - $171,490.00
The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability.
This job is also eligible for variable pay.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.
WHY Blue Cross Blue Shield of MA?
We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don’t hesitate to apply. We’d love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It’s in our differences that we will remain relentless in our pursuit to transform healthcare for ALL.
As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you’d like to be a part of, we’d love to hear from you. You can also join our Talent Community to stay “in the know” on all things Blue.
At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our " How We Work " Page.
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Where Massachusetts roles are concentrated, by current openings.
AI Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Insurance
- Law & Legal Services
- Banking & Financial Services
What Massachusetts Employers Look For
The qualifications that appear most often in AI engineer jobs across Massachusetts.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and experience with frameworks such as TensorFlow or PyTorch
- Demonstrated experience building, training, and deploying production machine learning models
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for ML workloads
- Experience with MLOps practices including model monitoring, versioning, and pipeline automation
- Strong communication skills to translate model outputs and findings for non-technical stakeholders
AI Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a ai engineer in Massachusetts?
There is no state-issued license required to work as an ai engineer in Massachusetts. Most employers expect a bachelor's degree in computer science, mathematics, or a closely related field, with a master's degree increasingly preferred for senior roles. Massachusetts's dense research university ecosystem, including MIT, Northeastern, and UMass Amherst, produces a large share of local candidates and many employers actively recruit from these institutions and their affiliated research labs.
Which companies hire ai engineers in Massachusetts?
Employers hiring ai engineers in Massachusetts right now include Capital One, State Street, and Teradyne, based on current listings on Migrate Mate as of November 2026. Massachusetts's mix of established defense contractors, life sciences technology firms, and enterprise software companies makes it one of the more diversified ai engineering markets on the East Coast.
Which Massachusetts cities have the most ai engineer jobs?
Boston, Cambridge, and Quincy have the most ai engineer openings in Massachusetts. The Boston and Cambridge corridor drives the bulk of demand, anchored by university research institutions, biotech firms along Route 128, and major enterprise technology campuses, while Burlington and Waltham attract openings from established defense and software employers headquartered in those suburban corridors.
Are there remote ai engineer jobs in Massachusetts?
Yes, and more than most fields. About 84% of ai engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting that most of the core work involves writing code, training models, and analyzing data rather than being physically on-site. Model evaluation, research, and data pipeline work tend to be the most remote-compatible parts of the role.
How can I get hired as a ai engineer in Massachusetts with little or no experience?
The most realistic entry path is a machine learning or data science role that involves model development, since many Massachusetts employers including large life sciences and defense technology firms treat these as feeder positions into dedicated ai engineering teams. Building a portfolio of deployed projects on GitHub, completing a master's program at a Massachusetts research university, or contributing to open-source ML tooling are the credentials that most consistently open doors when formal experience is limited.
Where can I find and apply to ai engineer jobs in Massachusetts?
You can find and apply to ai engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings. Find roles that fit your background and apply directly to the ones that match.
See All 135+ AI Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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