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Vector Databases Jobs in Boston, MA (NOW HIRING)

Dell, Inc.

Principal Software Engineer

Hopkinton, MA · On-site

$168/hr

Experience integrating AI-enabled automation and agentic AI (LLMs, autonomous agents, orchestration frameworks), along with familiarity in RAG, prompt engineering, vector databases, and enterprise ...

SevenAI

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

Tool fluency - comfortable with RAG, vector databases (e.g., Pinecone/Weaviate), workflow frameworks (LangChain, Dust), and related tooling. * Architectural thinker - you can diagram end-to-end ...

Chewy

Software Engineer III

Boston, MA · On-site +1

$141K - $225K/yr

Understanding of LLM architectures, embeddings, and vector databases (e.g., Qdrant, Pinecone, Milvus, FAISS). * Demonstrated ability to drive cross-team technical initiatives and influence ...

SolGenie

Full Stack UI Developer

Boston, MA · On-site

Experience working with LLMs and related AI frameworks (e.g., LangChain, Vector Databases, RAG). * Experience with API development and integration (RESTful APIs, GraphQL, cloud-based services)

SS&C

Senior Software Engineer

Waltham, MA

$132K - $174K/yr

Work with vector databases, embeddings, semantic search, and AI-driven APIs to build intelligent workflows and enhance product capabilities. * Support the development of AI-assisted features such as ...

SS&C Technologies

Senior Software Engineer

Waltham, MA · On-site

$132K - $174K/yr

Work with vector databases, embeddings, semantic search, and AI-driven APIs to build intelligent workflows and enhance product capabilities. * Support the development of AI-assisted features such as ...

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All JobsVector Databases JobsVector Databases Jobs in Boston, MA

Vector Databases information

What is the salary of a vector database developer?

The salary of a vector database developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, data structures, and database management may earn higher salaries, especially in tech hubs or with advanced certifications.

Are vector databases the future?

Vector database jobs involve managing and optimizing databases designed for high-dimensional vector data, which are essential for AI and machine learning applications. As AI continues to grow, demand for professionals skilled in vector database technologies and related tools like embedding models is expected to increase, making this a promising field for future job opportunities.

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What can you do with a vector database?

A vector database is used in roles involving data management and machine learning to store, search, and retrieve high-dimensional vector representations of data such as images, text, or audio. It enables efficient similarity searches, supporting applications like recommendation systems, natural language processing, and computer vision. Working with a vector database often requires knowledge of data structures, indexing techniques, and programming skills in languages like Python or C++.

What are the key skills and qualifications needed to thrive as a Vector Database Engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.

What are the top 5 vector databases?

Top vector databases used in data management and AI applications include Pinecone, Weaviate, FAISS, Milvus, and Annoy. These databases are optimized for storing and searching high-dimensional vector data, often requiring skills in machine learning and database management. They are widely adopted for tasks like similarity search and recommendation systems.
What are popular job titles related to Vector Databases jobs in Boston, MA? For Vector Databases jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Boston, MA look for? The top searched job categories for Vector Databases jobs in Boston, MA are:
What cities near Boston, MA are hiring for Vector Databases jobs? Cities near Boston, MA with the most Vector Databases job openings:
Vector Databases jobs near you
Infographic showing various Vector Databases job openings in Boston, MA as of July 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 92% In-person, and 8% Remote job distribution.
Enterprise GenAI Team Manager with Security Clearance

Enterprise GenAI Team Manager with Security Clearance

MIT Lincoln Laboratory

Lexington, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Position Description We are seeking an experienced Enterprise AI Team Manager to lead a growing team with 5 specialized professionals (business analyst/product owner, 2 application developers, 1 data scientist, and 1 system administrator) responsible for developing and managing enterprise AI capabilities within our FFRDC environment for now. The ideal candidate will bring strong technical leadership experience and expertise in technologies such as Cloud LLM platforms (Azure AI Foundry, AWS Bedrock), prompt engineering, agentic AI systems, MCP servers, vector databases, data pipelines, and RAG architectures. In this role, you will be instrumental in scaling our internal AI tools - including a custom prompt engineering configuration platform (like ChatGPT) and a LLM Gateway - while fostering responsible AI adoption across the enterprise and ensuring compliance with cybersecurity requirements.

Minimum Qualifications * Experience: Minimum of 5-7+ years of experience in a technical leadership or management role, with at least 2-3 years focused on AI/ML systems, LLM applications, or related technologies. * Technical Skills: * * * Strong experience with AI cloud platforms (Azure OpenAI, AWS Bedrock, or similar) * Hands-on experience with prompt engineering techniques and frameworks * Proficiency with AI/ML frameworks such as LangChain, LlamaIndex, or similar * Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures * Knowledge of agentic AI frameworks and multi-agent systems * Familiarity with Model Context Protocol (MCP) technology * Strong understanding of RESTful APIs, microservices, and API gateway patterns * Experience with Python and modern application development practices * Knowledge of cloud platforms (Azure, AWS) and their AI/ML services * Understanding of DevOps practices, CI/CD pipelines, and containerization THIS POSITION CAN BE REMOTE WITHIN 100 MILES OF THE LAB AND THE SELECTED CANDIDATE MAY NEED TO COME IN 1-2 DAYS ON SOME WEEKS. Hiring Range: $123,400 - $166,600 Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting.

The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance.

Benefits offered to employees include: * Comprehensive health, dental, and vision plans * MIT-funded pension * Matching 401K * Paid leave (including vacation, sick, parental, military, etc.) * Tuition reimbursement and continuing education programs * Mentorship programs * A range of work-life balance options * ... and much more! Please visit our Benefits page for more information.

As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks . Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer.

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. Requisition ID: 42852 #LI-RS1

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