FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in agentic AI, knowledge graph architecture, and data modeling, with a strong focus on designing scalable platform-level tooling and integration architectures. Proven ability to mentor teams and influence technical direction while evaluating emerging technologies in enterprise data systems.
Highest-signal resume keywords
Agentic AI ExperienceKnowledge Graph ArchitectureData 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 ArchitectureEntity ResolutionSchema AlignmentBatch ProcessingStreaming UpdatesArchitecting Large-Scale Platforms
Soft Skills
Excellent Communication SkillsTechnical JudgmentMentoringInfluencing Technical Direction
Tools & Technologies
GitHubRDFOWLSHACLSPARQLEnterprise SaaSOperational Intelligence SystemsDigital TwinsAgentic Quality Frameworks
Certifications & Qualifications
Masters or PhD in Computer ScienceMasters or PhD in Artificial Intelligence
Industry Keywords
Enterprise SoftwareSupply Chain TechnologySemantic SystemsKnowledge RepresentationAgentic Workflows
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 warehouse management, inventory, Salesforce, partner agentic environments, and similar ecosystems
- 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
- Mentor others and help build a culture of structured thinking, semantic clarity, pragmatic platform architecture, agentic engineering, and product-oriented innovation
- Evaluate emerging graph, semantic, agentic AI, and enterprise data technologies and define trade-offs
- Translate emerging research and technologies into reusable, composable, extensible architecture patterns and product capabilities
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 enterprise-domain alignment
- 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
- Hands-on experience with knowledge graph, data, and integration platforms and pipelines
- Experience evaluating emerging graph, semantic, agentic AI, and enterprise data technologies
- Hands-on agentic AI and agentic engineering experience is required
- GitHub-native engineering practices
- Demonstrated ability to translate emerging research and technologies into scalable architecture patterns and product capabilities
- Strong technical judgment
- 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: RDF, OWL, SHACL, SPARQL, temporal modeling, digital twins, operational intelligence systems, enterprise orchestration platforms, research/standards/open-source experience, enterprise SaaS, 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 throughout the recruitment process