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Vector Databases Jobs in Boston, MA (NOW HIRING)

Familiarity with vector databases, embeddings and enterprise AI deployments * Machine Learning/AI * Coding agents * Software Tools * Experience with Docker, Git, and CI/CD * Experience with ...

Senior Software Engineer, AI Platforms

Boston, MA · On-site

$133K - $175K/yr

Experience with vector databases, information retrieval systems, and optimizing search performance (highly preferred). * Familiarity with containerization (Docker, Kubernetes) and infrastructure-as ...

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 ...

... search, vector databases, guardrails, or memory systems. • Strong coding skills in Python or other languages such as C++ or ObjectScript. • Expertise in cloud environments (e.g., AWS, Google ...

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 ...

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)

AI Architect

Quincy, MA

$66.25 - $87.25/hr

Experience with LLMs, AI agents, RAG, vector databases, and orchestration frameworks * Proven experience designing secure and compliant enterprise systems * Strong stakeholder management and CXO ...

Lead AI Engineer - AWS Platform

Boston, MA · On-site +1

$130K - $190K/yr

Build RAG pipelines using vector databases and enterprise data sources * Build machine learning models that automate their training, validation, monitoring, and retraining * Develop APIs and services ...

AI Architect

Quincy, MA · On-site

$120K - $130K/yr

... vector databases, and orchestration • Proven track record designing secure and compliant systems in regulated environments • Ability to engage CXO stakeholders and influence architecture ...

AI Architect

Quincy, MA · On-site

$120K - $130K/yr

... vector databases, and orchestration • Proven track record designing secure and compliant systems in regulated environments • Ability to engage CXO stakeholders and influence architecture ...

Sr AI Enablement Engineer

Boston, MA · On-site

$133K - $175K/yr

Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights. * Build and ...

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Vector Databases information

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 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 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 cities near Boston, MA are hiring for Vector Databases jobs? Cities near Boston, MA with the most Vector Databases job openings:

Senior Software Engineer

SS&C Technologies Holdings

Waltham, MA • On-site

$132K - $174K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Sr. Software Engineer

We are seeking a skilled Sr. Software Engineer to design, build, and enhance tools and applications that power SS&C Intralinks' SaaS based software products. In this role, you will develop clean, secure, and efficient code; create integrations across platforms; and drive development that improves software reliability and operational efficiency.

SS&C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence.

You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments.

How You Will Make an Impact

  • Work closely with Product Owners, architects, and other team members to understand story definitions and acceptance criteria, translating requirements into design and implementation. Develops new product features and contributes to stabilizing existing applications. Participates in deploying applications across multiple environments and performs regression testing to ensure product quality.
  • Extend automation testing for both UI and backend services, continuously improving testing coverage and reliability. Inspects iterative development results and proposes improvements to techniques, tools, and processes to enhance engineering efficiency.
  • Collaborate with cross-functional teams to understand customer needs and pain points, building solutions that improve user experience and product value.
  • Contribute to AI-enabled product capabilities, including integrating AI/ML services, LLM-based features, and intelligent automation within applications.
  • 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 document analysis, automated insights, conversational interfaces, and recommendation systems. Ensures responsible AI integration with attention to scalability, reliability, and data security.

Required Experience

  • Bachelor's or Master's degree in Computer Science, Electronics Engineering, or a related field.
  • Good knowledge of NoSQL databases and caching layers – MongoDB, Redis, Cassandra.
  • Experience integrating with RESTful APIs using JSON and XML payloads.
  • Strong knowledge of JavaScript frameworks such as React, AngularJS, Backbone, Ember, along with HTML5, CSS3, jQuery, Ajax, Web Standards, and User Experience (UX) principles.
  • Programming experience with Node.js, Java, or Python.
  • Good knowledge of messaging systems such as ActiveMQ or RabbitMQ.
  • Knowledge of Azure, AWS, and other SaaS cloud-based platforms.

What Sets You Apart (preferred qualifications)

AI / Modern Engineering Skills

  • Experience working with AI/ML services, Large Language Models (LLMs), or AI APIs.
  • Familiarity with AI-assisted application development, including conversational interfaces, recommendation engines, or intelligent document processing.
  • Understanding of vector databases, embeddings, semantic search, or retrieval-based AI systems.
  • Experience integrating AI services from platforms such as OpenAI, Azure AI, or open-source models.
  • Knowledge of AI-driven automation, data pipelines, and scalable AI service integration.

Join SS&C, where innovation meets global opportunities.

SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity. Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location. Massachusetts: The expected base salary for the position is between 125000 USD to 140000 USD.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.