Architect (Ontology / Knowledge Graph)

About the role

Seeking a Senior Architect with deep expertise in Ontology, Knowledge Graphs, Semantic Technologies, Azure, and Data Architecture, who can design and govern enterprise-scale healthcare ontology platforms, AI-enabled semantic solutions, and agentic development ecosystems; experience with Stardog and Databricks is highly desirable. Location: Irving, TX (Hybrid – 3 days work from office per week).

Responsibilities

• Guide effective use of agentic IDEs for complex, multi-module or cross-service changes
• Establish review practices and quality checks for AI-generated code
• Mentor team members on balancing autonomy, correctness, and maintainability in AI-assisted development
• Design system architectures that support AI-augmented and agentic development workflows
• Define guardrails, standards, and governance for the use of autonomous coding agents
• Evaluate impact of agentic IDEs on SDLC, CI/CD pipelines, security posture, and technical debt

Requirements

• Minimum 12+ years of experience
• 10+ years of progressive experience in software engineering, solution architecture, or enterprise application development
• 5+ years leading architecture for enterprise applications or complex technology solutions
• Strong experience with semantic technologies, ontologies, knowledge graphs, and modern data platforms
• Experience designing cloud-native applications, APIs, integrations, and distributed systems
• Experience designing AI-enabled or data-driven solutions using modern cloud platforms
• Experience modernizing legacy applications while maintaining business continuity
• Demonstrated ability to influence architecture decisions across Product, Engineering, Security, Data, and business stakeholders
• Strong executive communication, facilitation, and relationship management skills
• Proven experience architecting and delivering systems using agentic IDEs
• Ability to define architectural intent that agents can follow, break features into agent executable tasks, govern AI autonomy (guardrails, permissions, reviews), integrate agentic workflows into CI/CD pipelines
• Experience supervising AI agents across multi‑service systems, legacy modernization, large codebases / monorepos
• Strong understanding of security implications of autonomous code execution, compliance, auditability, and traceability, AI assisted SDLC operating models

Qualifications

• Engineering degree (BE/ME/BTech/MTech/BSc/MSc)
• Technical certification in multiple technologies desirable

Skills

• Ontology
• Knowledge Graph
• AI
• Databricks
• Data
• Stardog (good to have)