Agentic Ontology Software Engineer

About This Opportunity

We are representing a confidential aerospace client seeking a Staff AI Engineer to lead the development of ontologies, knowledge graphs, and production AI systems. In this forward-deployed role, you will work directly with domain experts, data owners, and engineering teams to transform complex enterprise data into trusted knowledge that AI applications can understand and use.

As a Staff individual contributor, you will set technical direction across projects, solve complex system problems, guide senior engineers, and create reusable platform capabilities. You will lead through technical judgment and delivery results, remaining responsible from initial discovery through deployment and operation.

Responsibilities

• Lead technical discovery with users, domain experts, data owners, and engineering teams to convert business needs into system requirements and architecture decisions
• Define architectures for AI agents, ontologies, knowledge graphs, data integrations, and user applications
• Design semantic models that represent business concepts and establish methods for ontology governance, source traceability, evaluation, and version control
• Build AI agent workflows that create, test, and improve trusted knowledge artifacts with human review controls
• Define evaluation methods for AI quality, semantic accuracy, query results, reliability, cost, and latency
• Integrate databases, APIs, files, cloud platforms, and enterprise data systems
• Lead development across services, APIs, background jobs, web applications, and graph query systems
• Guide deployment through automated pipelines, containers, and cloud platforms
• Resolve complex failures across AI models, applications, data sources, and infrastructure
• Convert engagement-specific solutions into reusable platform capabilities
• Review architecture and code for quality, security, supportability, and system fit
• Mentor engineers and establish consistent engineering practices across teams
• Present technical decisions, risks, and results to technical and business leaders

What We're Looking For

Required Qualifications:

• Bachelor's degree in a STEM field and 9+ years of relevant experience, OR Master's degree with 7+ years, OR PhD with 4+ years
• Production software development experience in Python and architecting distributed or cloud-based systems
• Experience architecting and deploying production AI, LLM, machine learning, or agent-based systems
• Experience designing ontologies or knowledge graphs with RDF, OWL, and SPARQL
• Experience leading technical work across teams and converting unclear user needs into deployed solutions

Preferred Qualifications:

• Advanced experience with OWL, SHACL, R2RML, SPARQL, ontology reasoning, or semantic validation
• Experience with graph databases, virtual knowledge graph systems, Amazon Neptune, Ontop, or RDFLib
• Experience with AI agent frameworks and enterprise model platforms such as AWS Bedrock or Azure OpenAI
• Experience evaluating LLM systems for accuracy, traceability, reliability, security, cost, and latency
• Experience with Django, asynchronous Python, Celery, PostgreSQL, Redis, or comparable technologies
• Experience with React, TypeScript, or full-stack application development
• Experience with Docker, Kubernetes, OpenShift, Helm, and CI/CD pipelines
• Experience with production observability, incident response, and root-cause analysis
• Experience applying security and access controls to enterprise AI or data systems
• Experience mentoring senior engineers and leading architecture reviews across engineering teams
• Experience converting customer-specific solutions into reusable products or platform services

How We Work with You

Candidates apply through the Get A Job.ai platform. Our talent team will conduct an initial screening to understand your background and discuss the opportunity in detail. Once we mutually agree there is a strong fit, we will submit your profile to our client for consideration. Please do not contact the client directly, as all applications must be processed through Get A Job.ai to be considered.

Pay

Compensation for this position varies by geographic zone within the United States, reflecting regional labor markets. Pay ranges provided by our client are competitive and accompanied by comprehensive benefits including medical, dental, vision, 401(k) match, paid time off, holidays, parental leave, education assistance, and potential annual incentive programs.

Our talent team will discuss specific compensation details during the screening process based on your location and experience level.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all qualified candidates regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic under applicable law.