AI Domain architect
On-siteChihuahua, Chihuahua, Mexico
Job Summary
Design and evolve ontologies, knowledge graphs, semantic layers, and canonical domain models for enterprise platforms, defining entities, relationships, and business rules to improve AI retrieval and reasoning. Build agentic AI workflows with task decomposition, tool boundaries, and human-in-the-loop checkpoints, establishing strategies for RAG, fine-tuning, and prompting based on accuracy and scalability. Construct proofs of concept to validate architectures before establishing them as reusable standards, while developing model evaluation pipelines and defining data governance requirements. Work hands-on with Microsoft Foundry and Azure for deployment, agent development, and safety tooling, partnering with product and engineering teams from solution design through go-live to create technical standards and decision records.
Required Qualifications
- 8+ years of professional software engineering experience in production environments
- Experience at Staff Engineer, Principal Engineer, Architect, or equivalent senior technical level
- Hands-on experience designing ontologies, knowledge graphs, semantic layers, or canonical domain models deployed in production
- Practical experience building solutions with LLMs and/or agentic AI systems
- Experience with RAG, fine-tuning, and model evaluation pipelines, with strong judgment on when to use each approach
- Hands-on experience with Microsoft Foundry, including model deployment, agent development, evaluation, and safety tooling
- Strong hands-on experience with Microsoft Azure, including compute, data, identity, and networking services supporting AI workloads
- Ability to take an AI pattern or architecture from concept → Proof of Concept → published standard
- Experience defining architectures, technical patterns, or standards used across multiple teams
- Proven ability to influence technical direction across teams without direct authority
- Excellent written and verbal communication skills
- Advanced English proficiency
Desired Qualifications
- Experience with PEO, HCM, payroll, benefits, or other regulated business domains
- Knowledge of OWL, RDF, SHACL, property graphs, or other knowledge-representation technologies
- Experience with multi-tenant SaaS platforms handling sensitive data
- Experience working in SOC 2 or ISO 27001 environments
- Familiarity with Microsoft Agent Framework, MCP (Model Context Protocol), and tool-use orchestration
- Knowledge of Snowflake Cortex AI and its integration within broader AI platforms
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