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Pinecone Vector Databases Jobs in Boston, MA (NOW HIRING)

Monotype Imaging, Inc.

AI Architect

Woburn, MA · On-site

Experience with vector databases or search platforms such as Pinecone, Weaviate, Milvus, pgvector, Elasticsearch, OpenSearch, or Azure AI Search * Experience with automation and integration platforms ...

Brown Brothers Harriman & Co.

Senior AI Engineer

Boston, MA · On-site

$175K - $215K/yr

Vector databases - Pinecone, Weaviate, pgvector, or comparable * Active user of AI coding assistants in daily workflow Nice to Have * Financial services or data domain background - understanding of ...

Brown Brothers Harriman

Senior AI Engineer

Boston, MA · On-site

$175K - $215K/yr

Vector databases - Pinecone, Weaviate, pgvector, or comparable * Active user of AI coding assistants in daily workflow Nice to Have * Financial services or data domain background - understanding of ...

Photon

Principal Data Scientist

Boston, MA · On-site

... architectures, vector search ecosystems (Pinecone, Qdrant, OpenSearch, pgvector), and hybrid ... Hands-on expertise with GraphRAG, Knowledge Graphs, and graph databases (Neo4j). Strong background ...

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Pinecone Vector Databases information

What is a Pinecone vector database?

A Pinecone Vector Database is a cloud-based service designed to efficiently store, index, and search high-dimensional vector data, such as embeddings generated by machine learning models. It enables fast similarity search, making it ideal for use cases like semantic search, recommendation systems, and AI-powered applications. Pinecone handles the complexity of scaling and managing vector data, so developers can focus on building intelligent applications without worrying about infrastructure.

What are the key skills and qualifications needed to thrive as a Pinecone vector database engineer, and why are they important?

To thrive as a Pinecone Vector Database Engineer, you need a strong background in computer science, data engineering, and experience with large-scale distributed systems, often supported by a relevant degree or equivalent experience. Proficiency in Python, REST APIs, cloud platforms (AWS, GCP), and vector search technologies, along with familiarity with Pinecone’s SDK and database management, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and deliver scalable solutions. These skills ensure robust database performance, efficient data retrieval, and successful integration of vector search capabilities into real-world applications.

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

Engineers working with Pinecone Vector Databases often encounter challenges such as optimizing vector search performance at scale, ensuring data consistency across distributed systems, and integrating the database with various machine learning pipelines. Addressing these challenges typically involves tuning indexing parameters, monitoring resource utilization, and collaborating closely with data scientists to understand retrieval requirements. Regularly reviewing documentation and participating in community forums can also help engineers stay current with best practices and new features.

What is the difference between Pinecone Vector Databases vs Data Engineers?

AspectPinecone Vector DatabasesData Engineers
Primary RoleManaging and deploying vector database solutions for AI/ML applicationsDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsKnowledge of vector databases, cloud platforms, programming (Python, SQL)Data modeling, ETL processes, cloud services, programming (Python, Java)
Work EnvironmentTech companies, AI startups, cloud providersData-driven organizations, tech firms, finance, healthcare

While Pinecone Vector Databases specialists focus on deploying and managing vector database solutions for AI applications, Data Engineers build and maintain the data infrastructure that supports these systems. Both roles require programming skills and familiarity with cloud platforms, but their core responsibilities differ: one centers on database management, the other on data pipeline development.

What are popular job titles related to Pinecone Vector Databases jobs in Boston, MA?

For Pinecone Vector Databases jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Pinecone Vector Databases jobs in Boston, MA look for?

The top searched job categories for Pinecone Vector Databases jobs in Boston, MA are:

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Cities near Boston, MA with the most Pinecone Vector Databases job openings:

Pinecone Vector Databases jobs near you

AI Architect

Monotype Imaging, Inc.

Woburn, MA • On-site

Full-time

Medical, PTO

Re-posted 16 days ago

Job description

Sr. AI Architect
Woburn, MA
Are you our "TYPE"?
Named "One of the Most Innovative Companies in Design'' by Fast Company, Monotype brings brands to life through type and technology that consumers engage with every day. The company's rich legacy includes a library that can be traced back hundreds of years, featuring famed typefaces like Helvetica, Futura, Times New Roman and more. Monotype specializes in the design, development, licensing, and management of typefaces and font technologies for the world's biggest global brands and individual creative professionals, offering a wide set of solutions that make it easier for them to do what they do best: design beautiful brand experiences.
Want to learn more about who we are, what we do, and how you can become part of our team of over 1,000 talented employees across the globe? Visit us at www.monotype.com.
We are seeking a Sr. AI Architect to help modernize our technology foundation for AI and enable scalable, secure, enterprise-grade adoption of AI across the organization. In this role, you will lead the design and evolution of the infrastructure, platforms, patterns, and governance needed to support AI-enabled products, workflows, automations, and agentic systems. You will work closely with Engineering, IT, Security, Data, Enterprise Systems, and business stakeholders to ensure the company has the right architecture to support modern AI use cases - including LLM applications, retrieval-augmented generation, AI agents, enterprise knowledge systems, automation platforms, and secure integrations across internal systems.
This is a senior, highly cross-functional technical leadership role for someone who can bridge enterprise architecture, cloud infrastructure, AI platforms, data systems, security, and practical business enablement. The ideal candidate is both strategic and hands-on: able to define the roadmap, establish standards, evaluate emerging technologies, and partner with teams to bring scalable AI capabilities into production.
What you'll be doing:
  • Lead the design of the company's enterprise AI infrastructure and architecture

  • Modernize our technology foundation so teams can build and scale AI-enabled tools, automations, and agentic workflows

  • Define common patterns, standards, and best practices for AI applications, integrations, retrieval, governance, and monitoring

  • Partner with Engineering, IT, Security, Data, and business teams to identify the platforms and capabilities needed to support AI adoption

  • Design scalable approaches for connecting AI systems to enterprise data, knowledge sources, and business applications

  • Guide the implementation of secure and reliable AI capabilities, including LLM access, RAG, agent orchestration, observability, and cost management

  • Evaluate emerging AI platforms and tools and recommend pragmatic solutions based on business value, scalability, security, and risk

  • Provide technical leadership and architectural guidance to teams building AI automations, workflows, and internal AI solutions

  • Help shape the enterprise AI roadmap and prioritize foundational investments needed for long-term success

What we're looking for:
  • 8+ years of experience in software engineering, cloud infrastructure, enterprise architecture, platform engineering, data engineering, or a related technical field

  • Experience with LLMOps, MLOps, platform engineering, or internal developer platforms

  • Experience designing or modernizing enterprise-scale technology platforms, cloud systems, data platforms, or integration architectures

  • Strong understanding of AI infrastructure concepts, including LLM platforms, RAG, data retrieval, orchestration, APIs, monitoring, and governance

  • Hands-on experience with cloud platforms and modern AI tools such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, Anthropic, or similar technologies

  • Familiarity with orchestration and agent frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, IBM Watson X, AWS AgentCore, or similar technologies

  • Experience with vector databases or search platforms such as Pinecone, Weaviate, Milvus, pgvector, Elasticsearch, OpenSearch, or Azure AI Search

  • Experience with automation and integration platforms such as Workato, MuleSoft, Boomi, UiPath, n8n, Zapier, Make, or similar tools

  • Experience defining AI governance, responsible AI standards, model evaluation practices, or enterprise AI risk frameworks

  • Experience integrating enterprise systems, data sources, and SaaS platforms in a secure and scalable way

  • Strong understanding of security, privacy, access control, data governance, and compliance considerations for enterprise AI

  • Ability to evaluate new technologies and translate them into practical recommendations for the business

  • Proven ability to lead technical strategy, influence cross-functional teams, and communicate complex concepts clearly

  • Comfortable balancing long-term architecture with practical, near-term delivery

Preferred traits
  • Strategic systems thinker who can connect long-term architecture decisions to practical business outcomes

  • Hands-on technologist who is comfortable prototyping, evaluating tools, and guiding implementation

  • Comfortable operating in ambiguity and creating structure where standards, platforms, or processes do not yet exist

  • Strong technical judgment with the ability to balance innovation, speed, security, scalability, and operational reliability

  • Collaborative partner who can work effectively across Engineering, IT, Security, Data, Legal, and business teams

  • Pragmatic modernizer who understands that enterprise AI success depends as much on integration, governance, and adoption as it does on model capability

  • Curious, experiment-driven, and committed to staying current as AI infrastructure and agentic technologies rapidly evolve

What's in it for you:
  • Hybrid work arrangements and competitive paid time off programs.

  • Comprehensive commercial medical insurance coverage to meet all your healthcare needs.

  • Competitive compensation with corporate bonus program & uncapped commission for quota-carrying Sales

  • A creative, innovative, and global working environment in the creative and software technology industry

  • Highly engaged Events Committee to keep work enjoyable.

  • Reward & Recognition Programs (including President's Club for all functions)

  • Professional onboarding program, including robust targeted training for Sales function

  • Development and advancement opportunities (high internal mobility across organization)

  • Retirement planning options to save for your future, and so much more!

Monotype is an Equal Opportunities Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
The US pay range for this position is $130,000.00 - $155,000.00 annual base salary for external candidates with the appropriate level of experience. A corporate bonus will also be offered as part of this role. The final annual base salary offered will be based on location and experience level, and could be less for internal applicants depending upon experience. The job application window for this role is 30 days from the posting date.
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