CrawlJobs Logo

Principal Knowledge Graph Engineer

https://www.wellsfargo.com/ Logo

Wells Fargo

Location Icon

Location:
United States , Irving

Category Icon

Job Type Icon

Contract Type:
Employment contract

Salary Icon

Salary:

159000.00 - 305000.00 USD / Year

Job Description:

Define the Intelligence Layer Powering Enterprise Operations COO Technology sits at the operational core of the enterprise, delivering the platforms that enable execution, resiliency, regulatory confidence, and continuous improvement across the Chief Operating Office. From business continuity and control functions to customer experience, shared services, and supply chain, this organization drives large‑scale modernization by transforming complex operational data into actionable insight. We are seeking a senior‑level technical leader to own ontology design and knowledge representation for our next generation of AI‑enabled process intelligence. In this high‑impact role, you will serve as the authority on how enterprise knowledge is structured, connected, and reasoned over building the semantic foundation that allows AI systems to truly understand how the business operates. Your work will directly enable AI‑driven process discovery, pattern recognition, process optimization and identifying opportunities for automation at scale by unifying structured, semi‑structured, and unstructured operational data into coherent, machine‑interpretable knowledge graphs. You will work across multiple workstreams, partnering with engineering, process improvement, and analytics teams to translate real‑world operational behavior—captured through clickstream data, videos, and transcripts—into formal models that align with documented processes, controls, and organizational structures. This role is ideal for someone who wants to shape how agentic AI, large language models, and knowledge graphs come together to unlock deep operational insight and drive measurable enterprise outcomes.

Job Responsibility:

  • Ontology Design & Architecture: Design comprehensive ontologies for knowledge graphs that capture unstructured data, semi-structured data, and structured data
  • Agentic AI Prototyping: Use agentic AI frameworks to rapidly prototype and validate KG schemas in graph databases, enabling fast iteration on entity and relationship definitions
  • LLM Prompt Engineering for Extraction: Define parameterized schemas and craft optimized prompts for LLMs to extract entities and relationships from unstructured and semi-structured data sources
  • Cross-Functional Leadership: Serve as the ontology and schema expert across the Process Improvement workstream and guide the Analysis & Evaluation workstream on connecting observational data with process documentation
  • Pattern Recognition: Enable the identification of similar patterns across processes and opportunities for high-impact AI automation
  • Knowledge Integration: Build frameworks that connect operational observations (from clickstream analysis) with documented processes (from SOPs and control documents)

Requirements:

  • 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 3+ years of experience in knowledge graph design, ontology engineering, or semantic technologies
  • 2+ years of experience working with LLMs and AI agents for information extraction, entity recognition, or knowledge base construction

Nice to have:

  • 3+ years of hands-on experience with graph databases including schema design, query optimization, and large-scale data modeling
  • Expertise in semantic web technologies (RDF, OWL, SPARQL) and their application to enterprise knowledge management
  • Experience with agentic AI frameworks for automated knowledge extraction
  • Proficiency in Python with experience in NLP libraries and frameworks
  • Experience with process mining tools
  • Background in operations research, business process optimization, or workflow analysis
  • Experience in financial services, particularly in operations or risk management domains
  • Knowledge of AI risk assessment, AI safety, and ethical considerations in enterprise AI
  • Experience with cloud computing platforms
  • Excellent communication skills with ability to translate complex technical concepts for non-technical stakeholders
  • Advanced degree (M.S. or Ph.D.) in Computer Science, Information Science, or related field
What we offer:
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Additional Information:

Job Posted:
April 25, 2026

Expiration:
May 01, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Principal Knowledge Graph Engineer

Principal Software Engineer

Based in Redmond, this principal individual contributor role will help define an...
Location
Location
United States , Redmond
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field and 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python or equivalent experience.
  • Proven experience as a senior IC software engineer building and operating cloud services (Azure preferred).
  • Expertise building retrieval systems, context engineering, and/or knowledge graph systems.
  • Experience with distributed systems, service reliability, observability, performance, and live-site operations.
  • Experience leading technical direction across multiple partner teams and delivering cross-team integrations.
  • Ability to translate ambiguous problem spaces into concrete technical roadmaps and executable plans.
  • Familiarity with LLM application patterns (RAG, agents/tools), data pipelines, and evaluation/quality loops.
  • Demonstrated success driving adoption of AI-assisted coding practices and developer productivity workflows.
  • Experience with multi-tenant platform design, security/compliance considerations, and large-scale integration testing.
Job Responsibility
Job Responsibility
  • Drive end-to-end technical strategy and roadmap across Retrieval, Context Engineering, WorkIQ/FabricIQ, and Knowledge Graph.
  • Design and implement scalable cloud services and platform components
  • write production code to deliver features and integrations.
  • Partner closely with PMs and engineering leads to define an ambitious but achievable execution plan.
  • Collaborate with multiple engineering ICs to build, integrate, and ship E2E scenarios across teams.
  • Establish engineering best practices for reliability, security, performance, and operational excellence in Azure.
  • Aggressively introduce and scale AI-assisted coding practices by pairing with developers and helping implement features using these workflows.
  • Fulltime
Read More
Arrow Right

Principal AI Test Engineer - Prisma Access

We are seeking an AI-savvy Principal QA Test Engineer to transform how we test a...
Location
Location
United States , Santa Clara
Salary
Salary:
147000.00 - 237500.00 USD / Year
paloaltonetworks.com Logo
Palo Alto Networks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in QA/Test Automation Engineering with demonstrated impact on product quality and team practices
  • 2+ years of hands-on experience with AI/ML technologies, including LLMs, prompt engineering, and AI-assisted development workflows
  • Proven track record of building autonomous testing systems or AI-powered quality engineering tools
  • Deep expertise in cybersecurity, cloud networking, or distributed systems test
  • Strong proficiency in Python and/or Go for test automation and AI workflow development
  • Hands-on experience with LLM frameworks and AI model integration
  • Expertise in REST API testing, web UI automation (Selenium, Playwright, Puppeteer), and cloud-native application testing
  • Experience with browser security solutions: enterprise browsers, remote browser isolation, browser extensions
  • Strong understanding of networking fundamentals: TCP/IP, DNS, routing, VPN technologies, and firewall concepts
  • Knowledge of SASE (Secure Access Service Edge) architecture and Zero Trust Network Access (ZTNA) principles
Job Responsibility
Job Responsibility
  • Design and implement autonomous QA workflows using AI agents and LLM-based frameworks to achieve continuous, intelligent test execution across multiple services
  • Develop AI-augmented test infrastructure enabling scalable, context-aware testing that reflects real-world deployment scenarios
  • Build AI-powered test generation systems that automatically create comprehensive test suites from requirements, specifications, and production telemetry
  • Participate in system design to ensure quality, observability, and testability are built-in throughout the feature development lifecycle
  • Provide technical leadership in browser security, cloud orchestration, distributed systems, and AI-assisted quality engineering across multi-team quality initiatives
  • Mentor junior and mid-level engineers on AI/ML testing techniques, prompt engineering, and modern quality practices
  • lead adoption of new testing methodologies and measure impact
  • Collaborate with Development, SRE, Product Management, and Technical Marketing to align quality strategy with business outcomes
  • influence peers without authority to establish quality standards
  • Stay current with AI/ML advancements and translate them into practical testing innovations (agentic workflows, multimodal testing, AI-powered observability)
What we offer
What we offer
  • restricted stock units
  • bonus
  • Fulltime
Read More
Arrow Right

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...
Location
Location
United States , Chevy Chase, MD; Palo Alto, CA
Salary
Salary:
130000.00 - 260000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8 or more years of professional software engineering or applied machine learning experience
  • 2 or more years working with Generative AI or LLM-based systems in production
  • Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
  • Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
  • Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
  • Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
  • Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
  • Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
  • Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
  • Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering
Job Responsibility
Job Responsibility
  • Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
  • Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
  • Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
  • Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
  • Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
  • Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
  • Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
  • Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
  • Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
  • Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

Principal AI Engineer Senior Vice President

The Principal AI Engineer / SVP is a senior leader responsible for defining and ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 14+ years of extensive experience across analytics consulting, AI Product development, AI/ML, GenAI research, GenAI projects development and production experience
  • World-class expertise in building GenAI led business solves, with a proven track record of designing and delivering business solutions, platforms, Products
  • Deep and authoritative knowledge of Generative AI, including LLMs, and extensive experience architecting and working with technology teams in building complex, production-grade Agentic solutions
  • Ability to define and articulate new architectural options and strategies to solve complex business and technical problems
  • Recognized thought leader in AI, with experience in influencing and driving technical direction across a large enterprise
  • Exceptional leadership and mentoring capabilities, with experience developing senior-level technical talent
  • Deep understanding of the financial services domain, including regulatory, compliance, and security challenges
  • Deep exposure to Agentic frameworks, AgentOps Tools, vector databases, container orchestration, API management, Foundation models, Fine Tuning frameworks, Parameter Efficient methods, Knowledge Graphs, retrieval frameworks and embedding models
  • Hands on experience with GenAI tech stack – Knowledge management, Chunking strategies, Intent algorithms, RAG strategies, Hybrid search algorithms, Fusion and ranking, attribution
  • Bachelor's/University degree
Job Responsibility
Job Responsibility
  • Define and own the long-term vision and strategy for Generative AI and Agentic systems across the business unit, ensuring alignment with business goals and future growth
  • Lead the research, design, and prototyping of next-generation AI platforms and "first-of-a-kind" capabilities, establishing new patterns for the organization
  • Act as the lead solution architect for the most complex and critical AI initiatives, ensuring solutions are built for scale, with the highest standards of reliability, security, and performance
  • Set the technical standards for AI development, including frameworks, tools, MLOps, and Model Governance, influencing teams across the organization
  • Mentor and develop senior technical talent (Lead and Senior Engineers), acting as a "force multiplier" to elevate the technical capabilities of the entire department
  • Lead and scale a multi-tiered organization of AI professionals, setting the vision, managing budget, and representing the AI function at the senior executive level
  • Serve as the primary technical advisor to senior leadership on all matters related to AI, including opportunities, risks, and competitive landscape
  • Drive a culture of innovation, experimentation, and technical excellence
  • Fulltime
Read More
Arrow Right

Principal Software Engineers - Applied AI for Microsoft Threat Protection

The Microsoft Security Organization is building the next generation of security ...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python, C#, Go, or Java OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
  • Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • 6+ years of experience designing, building and operating scalable ML systems, including ML infrastructure and pipelines (Azure ML, Kubernetes), model versioning, observability, and secure deployment, with hands‑on experience in MLOps/AIOps/SecDevOps practices
  • 6+ years of experience building secure, reliable software systems, with applied knowledge of authentication, data protection, access control, and secure coding practices
  • 6+ years of experience designing, building, and operating distributed or cloud‑scale systems (Azure, AWS, or GCP), including production ownership, CI/CD integration, and operating highly available services
  • 2+ years of experience designing and building applications with LLM orchestration frameworks (e.g., LangChain, AutoGen), including agent‑based workflows, RAG pipelines, prompt engineering, and model fine‑tuning/evaluation
Job Responsibility
Job Responsibility
  • Design and evolve AI‑driven security systems leveraging large language models, multimodal models, and frontier capabilities to address complex security challenges
  • Develop contextual knowledge systems, including security graphs, semantic representations, memory frameworks, and high‑quality reasoning over security data
  • Collaborate across disciplines with Security Engineers, domain experts, and Product Managers to define inclusive, AI‑native security experiences
  • Partner with AI Infrastructure and Platform teams, Research, and Model Engineering groups to translate security workflows into AI‑optimized architectures
  • Enable automation, augmentation, and responsible autonomy to drive measurable functional improvements across security solutions
  • Prototype, validate, and deploy solutions in live production environments while upholding Microsoft standards for security, reliability, privacy, and trust
  • Shape technical direction for AI Security by influencing architecture, tooling, engineering practices, and shared best practices
  • Lead cross‑team initiatives spanning security products, platforms, and business units through collaboration and shared ownership
  • Mentor and sponsor engineers at multiple levels, fostering inclusive technical dialogue, sound engineering judgment, and continuous growth
  • Contribute to a culture of learning, accountability, and impact across the broader engineering and security community
  • Fulltime
Read More
Arrow Right
New

Sr Principal Software Engineer (Quantum Security)

Help build what is next. Strata Cloud Manager is a public cloud delivered manage...
Location
Location
United States , Santa Clara
Salary
Salary:
170000.00 - 277000.00 USD / Year
paloaltonetworks.it Logo
Palo Alto Networks Italia
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10 or more years of experience in building large enterprise applications
  • Strong background and experience in managing or building secure communication frameworks
  • Hands on understanding of SSL protocols along with solid foundation of cryptographic concepts such certificate, key exchange, key management, symmetric and asymmetric ciphers
  • Proven ability to lead and collaborate with many cross-functional teams with an emphasis on end-to-end delivery
  • Experience developing cloud native solutions in any of the large public cloud providers
  • Experience building data management solutions using transactional data stores
  • Education: MS/BS in Computer Science or equivalent
  • 3 or more years experience in technical leadership roles in building major cloud native apps or subsystems
  • Experience with Post Quantum Cryptography implementation and standardization is highly preferred
  • Knowledge of and experience building enterprise software with graph databases is highly desirable
Job Responsibility
Job Responsibility
  • Conceptualize, Collaborate and Develop next generation security solutions based on Quantum Security
  • Hands-on participation in developing Quantum dashboards and workflows to improve adoption of PQC standards
  • Drive PQC adoption initiatives with cross functional teams
  • Technical leadership and end-to-end delivery of solutions in collaboration with cross-functional product management, development and quality assurance teams in a fast paced environment
  • Work with Devops and Technical Support teams to investigate and resolve critical customer defects
  • Recruit and Mentor new team members
What we offer
What we offer
  • restricted stock units
  • bonus
  • employee benefits
  • Fulltime
Read More
Arrow Right

Principal Cloud Data Architect

We are seeking a knowledgeable and forward‑thinking Principal Cloud Data Archite...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expert-level understanding of GCP services such as BigQuery, Google Cloud Storage, Cloud Pub/Sub and Dataplex
  • Strong knowledge of Data Fabric principles, active metadata, semantic knowledge graphs, data virtualisation and modern data architectures including Data Mesh and Lakehouse
  • Skilled in designing data models for data lakes and warehouses
  • Hands‑on experience with Terraform, Ansible and open‑source data technologies such as Apache Spark, Apache Airflow or Apache Beam
  • Strong communication skills, able to explain technical concepts to both technical and non‑technical audiences
  • Proven ability to influence architectural decisions across diverse stakeholders
  • Analytical, collaborative and solution‑oriented approach to complex data challenges
  • 7+ years in data architecture, data engineering or related fields
  • 3+ years building cloud‑native data platforms, ideally on GCP
  • Proven experience architecting enterprise-scale integration and governance solutions
Job Responsibility
Job Responsibility
  • Define the strategic vision and target architecture for the enterprise Data Fabric built on GCP
  • Develop architectural blueprints covering data integration, metadata management, data governance and data quality
  • Design a unified semantic layer to provide a consistent business view of data assets
  • Select and evaluate GCP-native and third‑party services required for the Data Fabric’s functional components
  • Guide engineering teams in delivering robust cloud‑native data pipelines, including batch and streaming ingestion
  • Architect storage solutions using Cloud Storage and BigQuery for enterprise-scale analytics and reporting
  • Implement Everything as Code (EaC) practices for automated provisioning and management of GCP infrastructure
  • Lead the adoption of Dataplex for governance, metadata harvesting, lineage and automated data quality monitoring
  • Mentor technical teams and promote best practices in data architecture and cloud engineering
  • Collaborate with Product and Service Managers to define platform roadmaps and develop investment cases
What we offer
What we offer
  • Opportunity to shape Vodafone’s global Data Fabric platform and influence enterprise-wide data strategy
  • Exposure to GCP’s most advanced data and governance capabilities, including Dataplex-driven metadata intelligence
  • Collaboration with senior leaders, data specialists, engineering teams and cross‑market stakeholders
  • Continuous learning through hands‑on innovation in AI, agentic systems and self‑service data ecosystems
  • An inclusive environment that supports personal development, skill advancement and long-term career growth
Read More
Arrow Right

Technical Architect / Principal Backend Engineer

About Investwell (Excel Net Solutions Pvt. Ltd.) is the leader in the field of E...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
investwellonline.com Logo
Investwell
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4 - 8 years of relevant experience
  • B.Tech in Computer Science (or equivalent professional experience)
  • Must have: Javascript | Node.js | Express.js | Go | MySQL | System Design
  • At least 5+ years of experience in Node.js, Express.js, Javascript, System Design, Architecture, complex problem solving is required
  • Good knowledge of MySQL/MongoDB/Elasticsearch
  • Expertise in Database and System Design
  • DevOps knowledge is a plus
  • Good Problem Solving and Algorithm Skills
Job Responsibility
Job Responsibility
  • Lead the team of Backend Engineers
  • Architect robust backend systems
  • Implement RESTful services and Dynamic Web development with the cutting edge technology
  • Ensure the delivery of efficient, secure, and scalable solutions
  • Implement relational, document, key, object or graph data-stores as needed
  • Drive technical strategy and innovation
  • Implement Messaging Queues
  • Run and maintain Cloud infrastructure
  • Present tech designs
What we offer
What we offer
  • 5 days working with flexible timings and regular fun activities in the office
  • Free group medical insurance for all permanent employees upto 3 lakh
  • Free consultation with financial planners for your own life stage financial planning
  • Guidance on getting started on a personal investment journey
  • Fulltime
Read More
Arrow Right