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Vector Databases Jobs in Bridgewater, MA (NOW HIRING)

IQVIA

AI Solutions Architect (Remote)

Boston, MA · On-site +1

$68.50 - $90.25/hr

... vector databases, semantic search, machine learning, and predictive analytics * Experience designing AI solution architectures supported by strong data architecture principles. * Strong programming ...

Compass

Senior Software Engineer I

Boston, MA

$149K - $166K/yr

Hands-on GenAI Experience: 1+ years of experience building applications utilizing LLMs, including familiarity with prompt engineering, RAG, vector databases, and popular orchestration frameworks (e.g ...

Mendix

Presales Solutions Architect - Mendix

Boston, MA · Remote

$135K - $270K/yr

Hands-on experience with Generative AI technologies including LLMs, AI agents, RAG architectures, vector databases, and enterprise AI platforms. * Experience integrating AI services with enterprise ...

Mendix

Presales Solutions Architect - Mendix

Boston, MA

$135K - $270K/yr

Hands-on experience with Generative AI technologies including LLMs, AI agents, RAG architectures, vector databases, and enterprise AI platforms. * Experience integrating AI services with enterprise ...

Pwc

ERP AI Engineer - Manager

Boston, MA

$99K - $232K/yr

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

New Balance

Principal Software Engineer - AI

Boston, MA · On-site

$120K - $150K/yr

Vector Database Proficiency: Experience with specialized vector stores such as Azure AI Search. * Agentic Memory & State: Familiarity with implementing persistent memory and long-term state ...

New Balance

Principal Software Engineer - AI

Boston, MA · On-site

$120K - $150K/yr

Vector Database Proficiency: Experience with specialized vector stores such as Azure AI Search. * Agentic Memory & State: Familiarity with implementing persistent memory and long-term state ...

Humana

Lead Solutions Architect

Boston, MA

Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...

Compass

Senior Engineering Manager

Boston, MA · On-site

$225K - $251K/yr

Deep familiarity with modern LLM application architectures, vector databases, prompt design, fine-tuning, retrieval-augmented generation (RAG), and agent orchestration libraries. * Hybrid Team ...

Humana

Lead Solutions Architect

Boston, MA · On-site

Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...

Humana

Lead Solutions Architect

Boston, MA · On-site

Proven ability to integrate AI systems with event-driven microservices, vector databases/feature stores, and CI/CD pipelines, while leading reference architectures and cross-cloud patterns that scale ...

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All JobsVector Databases JobsVector Databases Jobs in Bridgewater, MA

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

AI Solutions Architect (Remote)

IQVIA

Boston, MA • On-site, Remote

$68.50 - $90.25/hr

Full-time

Posted 28 days ago

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

62nd of 223 rated it services

Job description

We are seeking an experienced AI Solutions Architect to lead the design and delivery of next-generation AI solutions for pharmaceutical and life sciences organizations. This individual will help clients transform scientific, clinical, and operational data into explainable, trustworthy, and scalable AI solutions that accelerate research and development, improve decision-making, and drive innovation across the drug development lifecycle.

Role Overview

As an AI Solutions Architect, you will combine yourexpertisein foundation models, knowledge graphs, agentic AI, and data architecture with strong consulting and client leadership skills. You will work closely with scientific, business, and technical stakeholders to design and deliver solutions thatleveragenext-generation AI capabilities and deliver measurable business value.

Key Responsibilities

AI Solution Architecture

  • Lead the design and delivery of AI solutions across pharmaceutical research and development, translating business and scientific challenges into scalable solutions with measurable outcomes

  • Recommendappropriate architecturesthat align businessobjectives, data assets, and technology capabilities

Foundation Models and Agentic AI

  • Design and implement solutions using foundation models, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI frameworks

  • Define approaches for model selection, orchestration, grounding, prompt design, evaluation, validation, and production deployment

Knowledge Graphs and Semantic Systems

  • Architect biomedical knowledgegraphs, ontologies, and semantic data models that support scientific discovery, reasoning, and intelligent information retrieval

  • Integrate knowledge graphs with foundation models to improve contextual understanding, explainability, and AI performance

Data Strategy and Engineering

  • Lead data integration, harmonization, and governance efforts across scientific, clinical, and operational data sources

  • Establish data foundations that support scalable, trustworthy, and AI-ready solutions

Client Leadership and Consulting

  • Serve as a trusted advisor to business, scientific, and technical stakeholders, leadingworkshopsand solution design sessions

  • Communicate complex technical concepts to both executive and technical audiences, guiding clients from strategy through implementation

Innovation and Capabilities Development

  • Stay current on advances in AI, foundation models, and knowledge graphs, bringing emerging capabilities into solutions

  • Contribute to reusable methodologies, accelerators, and leading practices that scale AI delivery across engagements

What We're Looking For

  • Master's degree or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, Engineering, ora relatedfield.

  • Significant experiencedelivering AI, data, analytics, or digital transformation solutions in life sciences or pharmaceutical organizations

  • Demonstratedexpertisein designing and deploying solutionsleveragingfoundation models, retrieval-augmented generation (RAG), agentic AI architectures, knowledge graphs, semantic technologies, vector databases, semantic search, machine learning, and predictive analytics

  • Experience designing AI solution architectures supported by strong data architecture principles.

  • Strong programming and solution development experience, particularly in Python and modern AI frameworks.

  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.

  • Experience designing and deploying AI solutions in regulated environments.

  • Ability to translatecomplex business and scientific questions into structured AI solution designs and implementation plans.

  • Understanding of pharmaceutical R&D processes, including drug discovery, translational science, clinical development, safety, and regulatory approval.

  • Excellent communication, presentation, and consulting skills.

  • Ability to engage effectively with both executive stakeholdersand highlytechnical teams.

Preferred Experience

  • Experience designing and implementing biomedical knowledge graph solutions, including the integration of knowledge graphs with foundation models and agentic AI to support intelligent applications and scientific discovery.

  • Familiarity with biomedical ontologies, standards, and scientific data management practices, including FAIR data principles and semantic interoperability.

  • ExperienceestablishingAI evaluation, validation, and governance frameworks, including benchmarking, human-in-the-loop review, and other quality assessment methodologies.

  • Understanding ofthe end-to-end pharmaceutical value chain, including R&D, regulatory affairs, market access, medical affairs, commercial operations, and post-marketing functions.

  • Experience leading client engagements and mentoring multidisciplinary technical teams.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $125,800.00 - $350,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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