Architect - Enterprise Application N
Job DescriptionResponsibilities- Data Agent Architecture: Define and validate the target architecture for Data Agents, covering data access patterns, governance, security, and scalability.
- Semantic Model Strategy: Evaluate and design the optimal semantic layer - entity representation, relationships, and business context - for Borrowers, Investors, Facilities, and Sponsors, establishing a trusted foundation for analytics and AI consumption.
- Hallucination Risk Mitigation: Explicitly define and govern cross-dataset relationships within the semantic layer (rather than relying on dynamic inference by the Data Agent) to improve response accuracy and trustworthiness.
- Implementation Guidance: Partner with the Enterprise Architecture team to guide design and build of the initial Data Agents (Phase 1), and support planning for Phase 2 (Microsoft IQ, Graph capabilities, RLS, and cross-domain orchestration).
Phased Scope- Phase 1: Basic use-case Data Agents for Borrowers, Investors, Facilities, Sponsors. Excludes RLS, multi-agent orchestration, and cross-domain capabilities.
- Phase 2: Introduction of Microsoft IQ and Graph capabilities for complex cross-domain scenarios, plus RLS implementation.
- Deep, demonstrated experience in semantic modeling and enterprise data architecture
- Strong background in AI-powered data access and Data Agent design patterns
- Experience with modern data architectures (data governance, security, scalability at enterprise scale)
- Familiarity with Microsoft data/AI ecosystem (IQ, Graph) is a plus for Phase 2 alignment
- Ability to work directly with enterprise architecture stakeholders to shape strategy and execution
Ideal Candidate ProfileA hands-on, senior-level architect who can operate at both strategic (thought leadership) and tactical (design/build guidance) levels - comfortable defining governance frameworks as well as reviewing and validating semantic model design decisions.
QualificationsBachelors - Computer Engineering, Bachelors - Computer Science, Bachelors - Information Technology, Masters - Software Engineering
CertificationsMicrosoft Certified Power Platform - MicrosoftMicrosoft, TOGAF 9 Certification - The Open Group Architecture Framework (TOGAF)The Open Group Architecture Framework (TOGAF)
Required SkillsAI Architecture - Data & Model, Data Architecture, Design Thinking, Hallucination Mitigation, Semantic Modeling
LanguageEnglish (Required)
Language Proficiency - Proficient - C2
Additional Job Location - Job TypeRegular
Master Skill List - Enterprise Application N
Remote Type - Hybrid
Work Shift - Day Job (United States of America)
The approximate annual base compensation range for this position is:80,000 to 100,000 USD
"Los Angeles California-based candidates are not eligible for this role"
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.
