Senior Architect (Ontology / Knowledge Graph)
About The Position
CitiusTech is seeking a Senior Architect with deep expertise in ontology, knowledge graphs, semantic technologies, Azure, and data architecture. The role focuses on designing and governing enterprise-scale healthcare ontology platforms, AI-enabled semantic solutions, and agentic development ecosystems. Experience with Stardog and Databricks is highly desirable. The position is a contract role based in Irving, Texas, with a hybrid schedule requiring three days per week in the office. A client interview may take place in person. Travel expenses for exceptional non-local candidates may be covered on a case-by-case basis; selected candidates must work from the office starting on day one. The architect will guide the use of agentic IDEs for complex, multi-module and cross-service changes; define architectural intent, guardrails, and governance for autonomous coding agents; and establish review practices for AI-generated code. The role also evaluates how agentic IDEs affect the software development lifecycle, CI/CD pipelines, security, and technical debt, while mentoring teams on responsible AI-assisted development.
Requirements
- At least 10 years of progressive experience in software engineering, solution architecture, or enterprise application development.
- At least 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.
- 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 for agents and break features into agent-executable tasks.
- Ability to govern AI autonomy through guardrails, permissions, and reviews.
- Experience integrating agentic workflows into CI/CD pipelines.
- Experience supervising AI agents across multi-service systems, legacy modernization, and large codebases or monorepos.
- Strong understanding of security implications of autonomous code execution, compliance, auditability, traceability, and AI-assisted SDLC operating models.
- Engineering degree: BE, ME, BTech, MTech, BSc, or MSc.
- Must work from the office from day one upon selection.
Nice To Haves
- Experience with Stardog and Databricks.
- Technical certifications in multiple technologies.
Responsibilities
- Design system architectures that support AI-augmented and agentic development workflows.
- Define architectural intent that AI agents can follow and break features into tasks that agents can execute.
- Define guardrails, standards, permissions, reviews, and governance for autonomous coding agents.
- Guide the effective use of agentic IDEs for complex, multi-module, and 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.
- Integrate agentic workflows into CI/CD pipelines.
- Evaluate the impact of agentic IDEs on the SDLC, CI/CD pipelines, security posture, and technical debt.
- Supervise AI agents working across multi-service systems, legacy modernization efforts, and large codebases or monorepos.
- Design and govern enterprise-scale healthcare ontology platforms and AI-enabled semantic solutions.
- Modernize legacy applications while maintaining business continuity.
- Influence architecture decisions across Product, Engineering, Security, Data, and business stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
