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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in agentic AI, knowledge graph, and data modeling architecture, with a strong focus on designing scalable platform capabilities and reusable architecture patterns. Proven ability to mentor teams and influence technical direction across diverse domains while applying emerging technologies in enterprise systems.
Highest-signal resume keywords
Agentic AI ExperienceKnowledge Graph DevelopmentData Modeling ExpertiseEnterprise Software ArchitecturePlatform-Level Tooling Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingSemantic ModelingOntology DevelopmentGraph ArchitectureIntegration ArchitectureIngestion PipelinesEntity ResolutionSchema AlignmentValidation TechniquesPerformance Optimization
Soft Skills
Excellent CommunicationTechnical JudgmentMentoringCollaboration
Tools & Technologies
SalesforceGitHubRDFOWLSHACLSPARQL
Certifications & Qualifications
Masters in Computer SciencePhD in Artificial Intelligence
Industry Keywords
Enterprise SoftwareSupply Chain TechnologyOperational IntelligenceDigital TwinsAgentic Engineering
About the role
Key responsibilities & impact- Provide hands-on technical leadership in agentic AI, knowledge graph, semantic, and data modeling architecture
- Design platform-level tooling connecting Maestro and planning data with enterprise systems such as warehouse management, inventory, Salesforce, and partner agentic environments
- Design data, graph, and integration architecture, including ingestion pipelines, transformation and mapping, entity resolution, schema alignment, validation, batch and streaming updates
- Enable agents to traverse enterprise data and graph structures
- Contribute to technical decisions across platform architecture, graph architecture, data modeling, AI integration, agentic workflows, quality evaluators, constraint validation, and query-time reasoning at scale
- Define reusable architecture patterns and scalable platform capabilities
- Evaluate emerging graph, semantic, agentic AI, and enterprise data technologies with defensible trade-off analysis
- Translate emerging research and technologies into scalable architecture patterns and product capabilities
- Mentor others and help build a culture of structured thinking, semantic clarity, pragmatic platform architecture, agentic engineering, and product-oriented innovation
- Collaborate across product, engineering, platform, and customer-facing domains
Requirements
What you’ll need- Masters or PhD in Computer Science, Artificial Intelligence or a related field
- Relevant experience in enterprise software architecture, applied AI, data modeling, knowledge graph or semantic systems, or supply chain technology
- Deep practical understanding of enterprise supply chain systems or adjacent operational systems
- Strong hands-on experience designing platform-level software, developer tooling, composable capabilities, workbench-style products, prototypes, proof-of-concepts, or early systems
- Strong data modeling, semantic modeling, ontology, knowledge graph, or knowledge representation experience
- Experience defining reusable architecture patterns, data model governance, semantic or ontology standards, versioning, lifecycle management, and alignment across enterprise domains
- Ability to define long-term evolution strategies for agentic enterprise platforms
- Experience applying emerging techniques in agentic AI, knowledge representation, semantic systems, or enterprise data platforms
- Experience architecting large-scale graph, semantic, and data platforms integrating structured, semi-structured, and unstructured data
- Hands-on experience with knowledge graph, data, and integration platforms and pipelines
- Experience with ingestion, transformation, entity resolution, schema or ontology alignment, validation, update patterns, and performance at scale
- Hands-on agentic AI and agentic engineering experience is required
- Experience using GitHub-native engineering practices
- Demonstrated ability to identify, evaluate, and apply emerging research and technologies
- Strong technical judgment
- Demonstrated ability to influence technical direction across product, engineering, platform, and customer-facing domains
- Excellent communication skills
- Ability to distinguish platform architecture from customer-specific implementation
- Ability to define quality architecture for agentic systems, including evaluators, validation patterns, constraints, and guardrails
- Nice to have: experience with RDF, OWL, SHACL, or SPARQL
- Nice to have: background in temporal modeling, digital twins, operational intelligence systems, or enterprise orchestration platforms
- Nice to have: experience with research, standards, open-source projects, or innovation
- Nice to have: experience with enterprise SaaS products and operating AI, graph, data, or agentic platforms at scale
- Nice to have: experience with RAG, LLM applications, explainable AI, evaluators, or agentic quality frameworks
Benefits
Comp & perks- Flexible vacation and Kinaxis Days (company-wide days off)
- Flexible work options
- Physical and mental well-being programs
- Regularly scheduled virtual fitness classes
- Mentorship programs, training, and career development
- Recognition programs and referral rewards
- Hackathons
- Accommodations upon request to ensure fairness and accessibility throughout the recruitment process