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Knowledge Graph Engineer Jobs in Boston, MA (NOW HIRING)

Work closely with other technical leaders, such as Ontology and Knowledge graph Engineers to design and deliver future-proof, AI-ready data systems aligned with Oncology R&D business needs. * Develop ...

Work closely with other technical leaders, such as Ontology and Knowledge graph Engineers to design and deliver future-proof, AI-ready data systems aligned with Oncology R&D business needs. * Develop ...

Head of AI

Boston, MA · On-site

$300K - $425K/yr

Hire and lead the AI/ML team, starting with a senior ML engineer and a senior knowledge graph architect as the first two roles. * Own the full intelligence extraction pipeline: from raw sensor data ...

Sales Engineer

Boston, MA · On-site

$250K - $275K/yr

Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep ... POSITION SUMMARY The Sales Engineer lives and works in the intersection between sales and ...

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Knowledge Graph Engineer information

See Boston, MA salary details

$35.9K

$96.9K

$154.3K

How much do knowledge graph engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for knowledge graph engineer in Boston, MA is $96,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $118,400.00 per year, depending on experience, location, and employer.
What are popular job titles related to Knowledge Graph Engineer jobs in Boston, MA? For Knowledge Graph Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph Engineer jobs in Boston, MA look for? The top searched job categories for Knowledge Graph Engineer jobs in Boston, MA are:
Senior Data Scientist - Agentic AI / Graph/ LLM Science, Vice President

Senior Data Scientist - Agentic AI / Graph/ LLM Science, Vice President

State Street

Quincy, MA • On-site

$120K - $202K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Who we are looking for:

We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML science team as part of the Agentic AI platform buildout. The Science pillar advances LLM research, finetuning, evaluation frameworks, anomaly detection, and frontier model development-partnering closely with Platform Engineering, SRE, and Pods/Business Engagement to ship production-grade agents and platform features.

This role will focus on applied research and product-oriented data science requirements - designing and validating domain-specific LLM solutions, building evaluation taxonomies and metrics and operationalizing fine-tuning/tooling for business use cases.

What you will be responsible for

  • Own BU specific problem statements and objectives to deliver value leveraging agentic AI workflows and domain LLMs

  • LLM research and fine-tuning including evaluating foundational models, fine-tuning and prompt optimization with robust data curation and governance alignment

  • Evaluation frameworks & taxonomies and Frontier model evaluation and buildout

  • Develop and maintain knowledge graphs and embeddings for semantic search and reasoning

  • Inference engine for scalable, low latency serving for tuned models, agentic workflows and cost optimization

  • Collaborate with engineering teams to deploy scalable AI solutions in production environments.

  • Conduct experiments and evaluations to benchmark model performance and ensure robustness

  • Opportunity to Research, document and socialize

Education & Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.

  • 5+ years of experience in applied machine learning or NLP.

  • Hands-on experience with LLM's, GenAI or NLP at production scale

  • Strong understanding of graph databases (e.g., Neo4j, RDF, DGL) and knowledge graph construction.

  • Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).

  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.

  • Prior work on agentic AI is a big plus

Salary Range:

$120,000 - $202,500 Annual

The range quoted above applies to the role in the location specified. If the candidate would ultimately work outside of the 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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