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Knowledge Graph Architect Jobs in Massachusetts (NOW HIRING)

AI/ML Programmer

Lexington, MA

$29.75 - $40.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, program, and architect advanced ML methods. * Develop algorithms in speech, natural ... Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or ...

AI/ML Programmer

Lexington, MA · On-site

$29.75 - $40.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, program, and architect advanced ML methods. * Develop algorithms in speech, natural ... Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or ...

AL/ML Programmer

Lexington, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, program, and architect advanced ML methods. * Develop algorithms in speech, natural ... Knowledge of artificial intelligence, ideally with applications to multimedia, cyber security or ...

AI/ML Programmer

Lexington, MA · On-site

$29.75 - $40.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, program, and architect advanced ML methods. * Develop algorithms in speech, natural ... Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or ...

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

AI isn't a feature here - it's the architecture. Agent frameworks, tools, and LLM orchestration are ... Connecting AI to automated lab workflows, ML pipelines, and multi-domain knowledge graphs means ...

Technical Lead - eSC or eDV Clearance Required

Boston, MA · On-site

$114 - $148/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Produce architecture diagrams, documentation, standards, and reusable design patterns. * Work ... Knowledge of relational databases (Postgres, MySQL, SQL Server), NoSQL stores (DynamoDB or Cosmos ...

Senior Identity Access Management Engineer

Boston, MA · Remote

$158K - $279K/yr

  • Medical

  • Life

  • PTO

... Microsoft Graph API; working knowledge of Azure services such as Function Apps and Logic Apps ... Understanding of Zero Trust Architecture principles. * Familiarity with Jira and Confluence. * B.S ...

Senior Data Engineer (HYBRID)

Wakefield, MA · On-site

$130K - $160K/yr

Data Architecture & Strategy: Lead by example in designing and maintaining high-performance data ... The final salary will be determined based on factors such as skills, knowledge, and demonstrated ...

You'll architect production ML infrastructure handling thousands of hours of service interactions ... Working knowledge of AI safety, bias detection, and responsible AI practices. Desired skills and ...

Knowledge Sharing & Mentoring * Share adoption best practices and contribute to playbooks and ... Architectural Advisory: Advise on architectural landscape mapping and integration of products into ...

AI Engineer

Burlington, MA · On-site

$150K - $180K/yr

  • Medical

  • Dental

  • Retirement

What You'll Do Agent Platform & Architecture * Design and build core agent platform capabilities ... Experience with graph databases, knowledge graphs, or GraphRAG preferred * Experience designing ...

Knowledge Sharing & Mentoring * Share adoption best practices and contribute to playbooks and ... Architectural Advisory: Advise on architectural landscape mapping and integration of products into ...

Showing results 41-60

Knowledge Graph Architect information

What is a knowledge graph architect?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are some typical challenges knowledge graph architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What are the key skills and qualifications needed to thrive as a knowledge graph architect?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.

What are popular job titles related to Knowledge Graph Architect jobs in Massachusetts?

For Knowledge Graph Architect jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Knowledge Graph Architect jobs in Massachusetts look for?

The top searched job categories for Knowledge Graph Architect jobs in Massachusetts are:

What cities in Massachusetts are hiring for Knowledge Graph Architect jobs?

Cities in Massachusetts with the most Knowledge Graph Architect job openings:

$29.75 - $40.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

Are you excited to contribute to world-class research in artificial intelligence with real impact on national security? The Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory has over 50 years of experience developing revolutionary technologies for critical national missions.

Group 52 AI Technology & Systems specializes in machine learning (ML) algorithms, technologies, and systems that extract and analyze information from multimedia data—including speech, text, images, and video. In recent years, we have significantly expanded our mission to include developing impactful ML solutions for cybersecurity in collaboration with the Nation’s top cyber organizations.

As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and driving the Laboratory’s efforts in AI Assurance across the Department of Defense and the Intelligence Community. We also integrate expertise in multimedia, cyber, and AI assurance to develop cutting-edge technologies for Operations in the Information Environment (OIE).

A hallmark of our work is a focus on operational relevance: we design and evaluate AI/ML systems using realistic datasets and metrics, and we partner directly with intelligence analysts and cyber operators to ensure rapid transition of our technologies into real-world, mission-critical systems.

Job Description

Our staff members:

  • Design, program, and architect advanced ML methods.
  • Develop algorithms in speech, natural language processing, multimedia, cyber, and graph analytics.
  • Publish and present research at premier conferences.
  • Internship Opportunities

The AI Technology and Systems Group is seeking motivated applicants that can contribute to projects addressing a wide range of national needs in AI and ML. Assignments may include:

  • Research on state-of-the-art algorithms in signal processing, natural language processing, graph analytics, or adversarial AI.
  • Applying innovative methods to challenging, real-world problems.
  • Working in a collaborative, team-oriented development environment.

This is an opportunity to apply your skills to some of the most important technical challenges of our time—while learning from and contributing to a world-class research community. 

Qualifications

Candidates who possess an M.S. in electrical engineering, computer science or other relevant discipline or a BS and 3 years of relevant experience will be considered.

Desired Skills:

  • Knowledge of artificial intelligence ideally with applications on multimedia, cyber security or adversarial machine learning / AI security experience.
  • Advanced AI/ML knowledge – solid graduate-level coursework or equivalent work experience in machine-learning theory, deep learning, NLP, computer-vision, graph analytics, or adversarial/AI-assurance techniques. Ability to read, evaluate, and implement state-of-the-art research papers.
  • Proficient Python programming – comfortable writing clean, modular, and testable code; expert-level use of deep-learning frameworks (PyTorch, TensorFlow, etc.), data-science stacks (NumPy, pandas, SciPy, etc.), and hands-on experience with agentic/LLM-oriented toolkits (e.g., MCP).
  • Operating in a rapid research-to-prototype pipeline – demonstrated ability to take a cutting-edge research concept, design an experimental plan, implement a functional prototype, and iterate based on quantitative evaluation. Experience with benchmark datasets and realistic metrics (e.g. latency, accuracy, robustness) is a plus.
  • Software-engineering best practices – strong Git workflow (branching, pull-requests, code reviews), continuous-integration testing, environment reproducibility (e.g., conda, virtualenv). Ability to document code, write reproducible experiment notebooks, and maintain versioned releases.
  • Problem-solving & analytical mindset – can decompose novel, ill-defined problems, propose multiple solution paths, and select the most promising approach based on empirical evidence.
  • Detail-oriented, able to multi-task, with the ability to work autonomously with minimal supervision.
  • Effective written and oral communication skills in technical environments, technical reports, internal wiki pages; delivers clear demo presentations and briefings to both technical audience and senior mission stakeholders.
  • Current TS/SCI clearance or willingness to obtain one.

Recent Graduate Hiring Range: $116,400 - $140,000
Experienced Hiring Range: $116,400 - $182,200

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 42941