We are looking for an experienced
AI Domain Architect
to help design and build the domain intelligence layer behind enterprise AI solutions.

? Role Description

As an
AI Domain Architect
, you will be responsible for defining how AI systems understand and reason about complex business domains. You will work across
domain modeling, ontologies, AI agents, RAG, fine-tuning, model evaluation, and reusable AI patterns
, partnering closely with product and engineering teams.

This is a
Senior Individual Contributor, hands-on role
for someone who combines strong architectural thinking with practical AI engineering skills. You will take ideas from concept to working Proof of Concept (PoC) and ultimately turn proven approaches into scalable enterprise standards.

?️ Responsibilities

• 
  Design and evolve
  ontologies, knowledge graphs, semantic layers, and canonical domain models
  for enterprise platforms.
• 
  Define entities, relationships, business rules, and terminology to improve AI retrieval, reasoning, and generated outputs.
• 
  Design
  agentic AI workflows
  , including task decomposition, tool boundaries, decision points, escalation paths, and human-in-the-loop checkpoints.
• 
  Define where AI agents can operate autonomously and where human intervention is required, particularly in sensitive or regulated processes.
• 
  Establish strategies for when to use
  RAG, fine-tuning, or prompting
  based on accuracy, cost, scalability, and maintainability.
• 
  Define standards for AI dataset preparation, labeling, provenance, governance, retention, and data-handling requirements.
• 
  Build domain-specific
  model evaluation pipelines and frameworks
  .
• 
  Develop reusable AI patterns, including retrieval strategies, reasoning templates, agent scaffolds, and validation guards.
• 
  Build
  Proofs of Concept (PoCs)
  to validate architectures and patterns before establishing them as standards.
• 
  Work hands-on with
  Microsoft Foundry and Azure
  for model deployment, agent development, evaluation, and AI safety.
• 
  Partner with product and engineering teams from solution design through go-live.
• 
  Create technical standards, architecture documentation, patterns, and decision records.
• 
  Serve as a technical reference and escalation point for AI architecture and domain intelligence decisions.

Requisitos

• 
  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
  .

Nice to have:

• 
  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.

? We’re looking for a senior professional who combines
AI Engineering, Architecture, and Domain Modeling
and can turn complex business knowledge into scalable, production-ready AI capabilities.