AI Engineer Jobs in Boston, MA
AI Engineer jobs in Boston are concentrated in the Seaport, Kendall Square, and Back Bay, with strong demand from life sciences, biotech, and enterprise software firms. Employers actively hiring right now include Boston University, Klaviyo, and Credence. See the openings below and apply to the ones that match your experience.
Find AI Engineer JobsOverview
Showing 5 of 135+ AI Engineer jobs











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.
See All 135+ AI Engineer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Job Market in Boston
Who's Hiring



Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Insurance
- Law & Legal Services
- Banking & Financial Services
AI Engineer Jobs in Boston: Frequently Asked Questions
How do I get a ai engineer job in Boston?
Start by targeting Boston's densest hiring corridors: Kendall Square for research-driven AI roles and the Seaport for growth-stage and enterprise tech. Life sciences companies, healthcare systems, and fintech firms are the most consistent hirers locally. Candidates with hands-on experience in large language models, MLOps, or computer vision stand out. Networking through Boston's active AI and ML meetup community also opens doors that online applications alone do not.
Which companies hire ai engineers in Boston?
Employers hiring ai engineers in Boston right now include Boston University, Klaviyo, and Credence, based on current listings on Migrate Mate as of November 2026. Boston's market includes a mix of major research hospitals, university-affiliated startups, established biotech firms, and enterprise software companies, all of which have built dedicated AI and machine learning teams in recent years.
Are there remote ai engineer jobs in Boston?
Yes, though fully remote roles are more common for software-focused AI work than for lab or hardware-adjacent positions. About 84% of ai engineer openings tied to Boston are remote or hybrid as of November 2026, reflecting broad flexibility across the sector. Model development, data pipeline, and NLP roles tend to be the most remote-friendly among Boston-based postings.
How can I get a ai engineer job in Boston with little or no experience?
The most realistic entry path in Boston is through associate ML engineer or data scientist roles at mid-size biotech or healthtech companies, many of which hire junior talent and provide structured mentorship. Boston's university-affiliated research centers and hospital systems also recruit research assistants and AI associates. Building a portfolio with open-source contributions or Kaggle projects tailored to healthcare or life sciences data gives candidates a concrete edge in this market.
Which industries hire the most ai engineers in Boston?
Most ai engineer openings in Boston sit in Technology & Software, Consulting & Professional Services, and Insurance, per current listings on Migrate Mate as of November 2026. Boston's concentration of world-class research hospitals, biotech firms along the Route 128 corridor, and a growing fintech presence in the Seaport make those sectors the primary drivers of local AI engineering demand.
Related Jobs in Massachusetts
See All 135+ AI Engineer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find AI Engineer Jobs