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Vector Databases Jobs in Sterling, 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 ...

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 ...

CVS Health

Principal Software Engineer

Wellesley, MA · 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 ...

Motion Recruitment

Software Architect

Framingham, MA · On-site

... vector databases such as PGVector, Pinecone, Weaviate, or Milvus • Experience with cloud platforms including AWS, Azure, or GCP • Knowledge of containerization and orchestration such as Docker ...

SS&C

Senior Full Stack Software Engineer

Waltham, MA · On-site

Hands-on experience developing Agentic AI workflows and RAG pipelines in Python, specifically leveraging Vector Databases (e.g., Pinecone, Milvus) and the Model Context Protocol (MCP) to build ...

Staples, Inc.

Sr Manager AI Platforms

Framingham, MA · On-site

$130K - $171K/yr

Experience with GenAI platforms, large language models, agentic AI frameworks, prompt orchestration, vector databases, retrieval-augmented generation, or AI application development patterns.

Staples, Inc.

Sr Manager AI Platforms

Framingham, MA · Remote

$130K - $171K/yr

Experience with GenAI platforms, large language models, agentic AI frameworks, prompt orchestration, vector databases, retrieval-augmented generation, or AI application development patterns.

UKG, Inc.

AI Security Architect

Lowell, MA · On-site

$64.50 - $83.25/hr

Lead threat modeling and security design reviews for AI-enabled features, machine learning systems, data pipelines, model integrations, plugins, agents, vector databases, prompt chains, and third ...

Global Partners

Senior Director, Data Engineering

Waltham, MA · On-site

$114K - $155K/yr

Familiarity with the data infrastructure that supports AI/ML products: feature stores, vector databases, RAG retrieval pipelines, embeddings management, and model/agent monitoring. * Comfortable ...

All JobsVector Databases JobsVector Databases Jobs in Sterling, 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 job categories do people searching Vector Databases jobs in Sterling, MA look for? The top searched job categories for Vector Databases jobs in Sterling, MA are:
What cities near Sterling, MA are hiring for Vector Databases jobs? Cities near Sterling, MA with the most Vector Databases job openings:
Vector Databases jobs near you
Director of Engineering - Agentic AI platform

Director of Engineering - Agentic AI platform

SS&C Technologies

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

SS&C Technologies rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

115th of 202 rated software companies

Job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
Director of Engineering AI/Data Science
Location(s): Waltham, MA
Get To Know the Team
You'll be joining a collaborative, fast-moving team of data scientists, AI engineers, machine learning engineers, and data engineers who work together to tackle complex, high-impact problems at the intersection of AI and enterprise software.
We operate with a genuinely agile mindset - shipping iteratively, challenging assumptions, and staying close to the cutting edge. The team is proactive about research, consistently evaluating and adopting state-of-the-art methodologies, and we encourage everyone to experiment, share findings, and bring new ideas to the table. If you thrive in an environment where intellectual curiosity is the norm and the work is always evolving, you'll fit right in.
Why You Will Love It Here!
  • Flexibility: Hybrid Work Model & a Business Casual Dress Code, including jeans
  • Your Future: 401 (k) Matching Program, Professional Development Reimbursement
  • Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays
  • Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave
  • Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents, and Experiences of Our Employees
  • Training: Hands-On, Team-Customized, including SS&C University
  • Extra Perks: Discounts on fitness clubs, travel, and more!

What You Will Get to Do
  • Lead and manage multiple engineering teams focused on AI, Data Science, and platform development.
  • Drive the design and implementation of Agentic AI frameworks, including orchestration, tool use, memory, workflow automation, and multi-agent systems.
  • Oversee the delivery of AI/ML and LLM-based solutions from concept through production, ensuring scalability, security, and maintainability.
  • Establish software engineering best practices for AI development, including CI/CD, testing, observability, model lifecycle management, and performance monitoring.
  • Partner with Product Management to define roadmaps, prioritize use cases, and ensure timely delivery of high-impact AI capabilities.
  • Collaborate with architecture, cloud, and platform teams to build reusable AI services and enterprise-ready frameworks.
  • Ensure strong execution discipline across teams, including sprint planning, milestone tracking, and delivery accountability.
  • Guide teams in building production-ready solutions using modern AI technologies (LLMs, vector databases, RAG, agent frameworks, APIs, microservices, cloud platforms).
  • Promote responsible AI practices, including governance, data privacy, model evaluation, and risk controls.
  • Mentor engineering managers, technical leads, and senior engineers to build a high-performing organization.
  • Drive cross-functional collaboration with Product, UX, Data, Security, and Infrastructure teams.
  • Communicate progress, risks, and outcomes to senior leadership and stakeholders
  • Identify opportunities to standardize platforms, reduce duplication, and accelerate delivery through shared frameworks.

What You Will Bring
  • Programming & Frameworks: Expert Python skills (OOP, async, testing, packaging) and hands-on experience with agentic libraries including LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, and BeeAI. Familiarity with JavaScript/TypeScript (for edge agents or UI integrations) is a plus.
  • LLMs & Machine Learning: Strong knowledge of LLMs (GPT-4o, Claude, Llama 3, domain-specific models) and fine-tuning techniques. Understanding of embeddings, vector similarity search (ANN), and RAG pipelines. Experience with providers such as OpenAI, Anthropic, Hugging Face, and Ollama.
  • Databases & Data Engineering: Proficiency with vector databases (Pinecone, Milvus, Qdrant), graph databases (Neo4j, Amazon Neptune), and traditional SQL/NoSQL systems. Ability to design schemas and queries for agent context management. Experience building ETL pipelines (Airflow, NiFi, Spark) to populate and maintain knowledge bases.
  • DevOps & Deployment: Skilled in containerization (Docker), orchestration (Kubernetes, AWS EKS/GKE), serverless (AWS Lambda, Cloud Run), CI/CD (GitHub Actions, Jenkins), and infrastructure-as-code. Familiarity with cloud ML platforms (AWS Bedrock, GCP Vertex AI, Azure ML) for scalable agent hosting.
  • Security & Governance: Knowledge of secure coding practices, IAM/RBAC, data encryption, and AI governance (prompt injection mitigation, bias auditing, compliance documentation).
  • Soft Skills: Strong problem-solving, communication, and collaboration skills. Ability to translate business requirements into technical specifications. Intellectual curiosity and adaptability to stay current in a fast-moving field.
  • Master's degree or PhD, or equivalent experience in Data Science, Information Technology, Applied Mathematics, Engineering, Computer Science or related field.
  • 5 to 7 years of data science and/or software engineering experience in Artificial Intelligence and Machine Learning with a proven track record of building and deploying AI models.
  • 12+ years of experience leading, managing, and developing highly talented teams.
  • Strong technical background and deep understanding of Machine Learning with practical experience in building and implementing large-scale predictive models and recommendation systems.
  • Proficient in AI frameworks (e.g., PyTorch) and programming languages (e.g., Python), with experience in building and deploying AI models for end-to-end AI/ML solutions.
  • Proven leadership experience in data analytics and AI, or a related role, with a strong background in designing and implementing data science solutions.
  • Prior experience leading technical engagements across data engineering, data science, AI, and Gen AI workstreams.
  • Strong leadership and proactive communication to coordinate with the project teams and other internal stakeholders.
  • Experience with delivering solutions on major cloud platforms, data science tools, and Gen AI technologies.
  • Strong Fin-Tech business acumen, with experience in developing PoCs and bringing them to product vision.
  • Utilize expertise to guide the decision on leading-edge technical / business approaches and/or develops major new technical tools.
  • Facilitate communication between executives, staff, management, vendors, and other technology resources within and outside of the organization.

Thank you for your interest in SS&C! To further explore this opportunity, please apply through our careers page on the corporate website at https://www.ssctech.com/careers/join-ssc
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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
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.
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.

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About SS&C Technologies

Sourced by ZipRecruiter

SS&C Technologies is a prominent player in the software and IT services industry, specializing in investment and financial technologies. The company is headquartered in Windsor, Connecticut, USA, with the core mission to deliver advanced technology-driven solutions and software for the global financial services industry. SS&C Technologies was established in 1986, and since its inception, the company has grown immensely to offer a comprehensive portfolio of services that include fund administration, securities industry software, insurance and pension funds software, asset management, and trading and settlement services.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Windsor, CT, US

Year founded

1986

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