Role profile
AI Context Engineer
Ground agents and intelligent workflows in authoritative enterprise knowledge, policy, evidence and operating context.
The mandate
Design the context architectures that allow AI systems to retrieve, interpret and use enterprise knowledge reliably. You will connect models and agents to governed concepts, authoritative sources, permissions, policies and evidence while preserving traceability.
What you will own
- Translate AI use cases into explicit context, knowledge, tool and control requirements.
- Design grounding patterns using ontology, knowledge graphs, metadata, retrieval and structured data.
- Build context assembly, retrieval and agent-tool integration components.
- Establish source authority, provenance, temporal relevance and permission-aware retrieval.
- Create evaluations for semantic consistency, context quality, hallucination risk and safe action.
- Integrate agents with APIs, data products, semantic layers and governed enterprise tools.
- Work with business experts to make operational policies interpretable by intelligent systems.
What you bring
- Hands-on experience developing LLM applications, agents, retrieval systems or AI-enabled workflows.
- Strong Python and API integration skills with practical experience in orchestration frameworks.
- Understanding of RAG, embeddings, vector search, graph retrieval, tool use and evaluation.
- Ability to reason about ontology, business rules, identity, grain, time and provenance.
- Security-minded approach to permissions, auditability and controlled action.
- Ability to explain system behavior and tradeoffs to both engineers and business leaders.
Especially valuable
- Experience with enterprise agent platforms, MCP, GraphRAG or hybrid retrieval.
- Familiarity with Databricks, Snowflake, Microsoft Fabric, Azure AI or comparable ecosystems.
- Knowledge of RDF/OWL/SHACL, knowledge graphs, semantic layers or policy-as-code.
- Experience operationalizing AI under regulatory, privacy or security constraints.
What success looks like
Agents inherit approved enterprise context instead of recreating it independently. Their answers and actions are more consistent, evidence-based, permission-aware and reusable across use cases.
Role structure
This profile supports Semantology’s developing talent network and may not represent an immediate vacancy. Opportunities may be full-time, contract or advisory based on business need. Formal postings or offers will specify compensation, benefits, classification, location and travel.
How to apply
Email your résumé and a role-specific cover letter to hello@semantology.io. Include “AI Context Engineer” in the subject line.
Applicants must be legally authorized to work in the United States. Semantology is unable to provide or assume employment-based visa sponsorship for this position, now or in the future.
Due to the volume of applications we receive, we may be unable to respond individually to every applicant. Only candidates selected for further consideration will be contacted.
Employment notices
Equal opportunity
Semantology provides equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status or any other characteristic protected by applicable law.
Reasonable accommodation
Applicants who need a reasonable accommodation during the application or interview process may contact hello@semantology.io with “Accommodation Request” in the subject line.
Applicant information
Application materials will be used for recruiting and related business purposes. Please do not submit Social Security numbers, financial information, medical records or other unnecessary sensitive information.
Posting status
This role profile does not constitute an offer, promise or employment contract. Responsibilities may evolve with business requirements. Any employment relationship will be at will to the extent permitted by applicable law. Unsolicited agency submissions will not create an obligation or fee unless governed by a written agreement signed by Semantology.