Senior Architect Ontology Knowledge Graph

hat is in it for you?

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.

Experience: -

12+ Years

Location: -

Irving, TX

Hybrid (3 days work from office per week)

Duration: -

Contract role with CitiusTech

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

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

Core Responsibility: 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.