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Vector Databases Jobs in Boston, MA (NOW HIRING)

Implement RAG pipelines using enterprise data sources and vector databases * Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling * Embed AI capabilities into core ...

Senior AWS Cloud Engineer

Cambridge, MA ยท On-site

$114K - $156K/yr

AWS Database Migration Service (DMS) * Amazon SageMaker * Amazon Bedrock * Amazon OpenSearch (including vector search) * Design event-driven and serverless data architectures. * Support ingestion and ...

Lead AI Engineer - AWS Platform

Boston, MA ยท 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 Developer, AVP

Burlington, MA ยท On-site

$54.75 - $75.25/hr

Implement RAG pipelines using enterprise data sources and vector databases * Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling * Embed AI capabilities into core ...

Knowledge of vector databases or embeddings * Familiarity with AWS, GCP, or Azure * Prior internship or project experience building AI/ML applications How to Apply Please submit the following to danz ...

AI/ML Engineer

Boston, MA ยท On-site

$30 - $35/hr

LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...

AI/ML Engineer

Boston, MA ยท On-site

$35 - $45/hr

Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) * Experience in RAG (Retrieval-Augmented Generation) implementations. * Knowledge of MLOps tools and CI/CD pipelines. * Experience with ...

AI Developer

Boston, MA ยท On-site

$70 - $110/hr

Build retrieval-augmented generation (RAG) systems using Azure AI Search, Amazon Kendra, or vector databases like Pinecone, Weaviate, or FAISS. * Deploy and manage models on Azure Machine Learning ...

Embedding-based retrieval (pgvector, FAISS, vector databases) * Bandits, contextual bandits, or online learning * A/B testing infrastructure design * Causal inference * dbt * Ad-tech or OOH domain ...

Principal Software Engineer

Wellesley, MA ยท On-site

$148K - $198K/yr

Familiarity with vector databases (e.g., Vertex Vector Search, Pinecone, Weaviate, pgvector) and advanced retrieval techniques * Experience designing evaluation frameworks for LLM systems (gold ...

Senior Data Architect

Boston, MA ยท On-site

$130K - $189K/yr

Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management. * Strong understanding of data modeling (conceptual, logical, physical), master data ...

Senior Data Architect

Boston, MA ยท On-site

$130K - $189K/yr

Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management. * Strong understanding of data modeling (conceptual, logical, physical), master data ...

Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management. * Strong understanding of data modeling (conceptual, logical, physical), master data ...

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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 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:
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.
AI Developer, SA

AI Developer, SA

State Street Corporation

Burlington, MA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

AI Developer
Who we are looking for
The AI Engineer will play a key role in advancing AI-enabled capabilities across the Charles River Investment Management Solution and Alpha Platform. This individual will design, build, and scale production-grade AI systems, including copilots, agentic workflows, and automation services embedded directly into investment management processes.
To be successful, the candidate must be a hands-on engineer with strong experience in LLMs, AI orchestration, and distributed systems, capable of translating emerging AI patterns (e.g., RAG, agent frameworks, MCP integration) into secure, scalable enterprise solutions. This role requires close collaboration with product owners, architects, and domain teams to operationalize AI across client-facing and internal workflows.
Why this role is important to us
  • Enables Scalable AI Adoption: Builds reusable platforms and services that allow product teams to rapidly integrate AI without fragmentation

  • Drives Business Impact: Embeds AI into front-to-back workflows, improving productivity, automation, and decision-making for clients

  • Bridges Innovation and Production: Converts emerging AI technologies into secure, governed, production-ready capabilities

  • Accelerates Time-to-Market: Enables faster delivery of high-value AI use cases through standard architecture and tooling

What you will be responsible for
  • Design, develop, and deploy AI-powered services, including copilots, agent-based workflows, and automation tools

  • Build and integrate LLM-based solutions using orchestration frameworks and tool-calling patterns

  • Implement RAG pipelines using enterprise data sources and vector databases

  • Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling

  • Embed AI capabilities into core CRD and Alpha workflows across front, middle, and back-office processes

  • Build reusable AI enablement platforms, SDKs, and shared services for product teams

  • Integrate AI services with cloud platforms and enterprise systems

  • Expose AI capabilities through API Management layers and event-driven architectures

  • Ensure performance, scalability, and reliability of AI systems in production environments

  • Implement monitoring, evaluation, and observability for AI models and pipelines

  • Apply responsible AI practices (security, explainability, compliance, governance)

  • Collaborate with product, architecture, data science, and UX teams to deliver end-to-end solutions

  • Participate in agile development processes including sprint planning, code reviews, and retrospectives

What we value
  • Strong expertise in LLMs, prompt engineering, and AI system design

  • Experience building AI copilots, conversational interfaces, or agent-based systems

  • Hands-on experience with RAG architectures, embeddings, and vector databases

  • Familiarity with MCP frameworks, tool-calling patterns, and agent orchestration

  • Experience with cloud-native AI services (Azure preferred) and distributed architectures

  • Proficiency in Python and at least one additional language (Java, C#, or TypeScript)

  • Experience with API-driven architectures, microservices, and event streaming (Kafka, Event Hub)

  • Knowledge of distributed caching (Redis, Hazelcast) and performance optimization patterns

  • Strong software engineering fundamentals: testing, CI/CD, code quality, and design patterns

  • Familiarity with AI governance, model risk management, and security best practices

  • Ability to work across strategic and hands-on engineering tasks

  • Strong collaboration and communication skills in cross-functional environments

Education & Preferred Qualifications
  • B.S. or M.S. in Computer Science, Engineering, Mathematics, or related field

  • 2-5+ years of software engineering experience, with a focus on building scalable systems

  • Experience delivering AI/ML-powered applications into production

  • Strong understanding of modern AI architectures (LLMs, RAG, APIs, orchestration layers)

  • Experience working with cloud platforms (Azure, AWS, or GCP)

  • Preferred:

  • Experience in investment management, trading systems, or financial data platforms

  • Experience with AI agent frameworks, MCP servers, or advanced orchestration patterns

  • Experience working within Agile/Scrum teams following modern SDLC practices, including secure coding standards, CI/CD

About CRD
Charles River Development (CRD) is the FinTech division of State Street. Together with State Street's middle- and back-office services, Charles River's cloud-based front-office technology forms the foundation of the State Street Alphaยฎ Platform - the first front-to-back solution in the industry.
Our vision is to be the world's leading investment platform, driving innovation, resiliency, and growth for investment firms globally. CRD Engineering is transforming the platform into a modern, cloud-native ecosystem leveraging Microsoft Azure, Kafka, Snowflake, and advanced AI technologies.
As part of this transformation, AI Enablement is a strategic priority - bringing together data, engineering, and intelligent automation to redefine investment workflows and deliver measurable client value.
About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in locations, but you may expect generous medical care, insurance and savings plans among other perks. You'll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Discover more at StateStreet.com/careers
Salary Range:
$52,000 - $91,000 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

State Street logo

About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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