Enterprise Architect, AI (Hybrid)
Compensation
$63.68 – $71.68 /hr
Employment type
Full-time
Work setting
Hybrid
Location
Plano, TX
Schedule
Day shift
Posted
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Job overview
The Enterprise Architect, AI role is hybrid, requiring three onsite days per week in Plano, TX. Pay is $63.68–$71.68 per hour. The role supports a global financial institution’s Global Technology organization. The architect establishes enterprise patterns, standards, and decision frameworks to guide scalable, secure, and governed AI adoption. Working with architecture, platform engineering, security, and risk partners, the role translates emerging AI capabilities into practical enterprise solutions and promotes consistency across initiatives.
What you'll do
- Define enterprise AI strategy, patterns, and reference architectures
- establish platform selection and deployment decision frameworks
- develop governance models and guardrails
- define patterns for agents, multi-agent systems, workflow automation, RAG, vector databases, and semantic retrieval
- align architecture with security, risk, compliance, and control requirements
- partner with platform teams
- communicate guidance and decisions to technical and business stakeholders.
What we're looking for
- Skills & competencies
- enterprise architectai architecturegenerative aiagentic airagvector databasesai governancehybridplano txgenesis10$63.68–$71.68/hr
- Work arrangement
- Weekend coverage required
Benefits & perks
- Medical, dental, and vision
- health savings account
- voluntary hospital indemnity and term life insurance
- 401(k)
- applicable sick pay
- commuter benefits
- behavioral health platform.
Why this role
Senior AI architecture leadership spanning agentic systems, retrieval architectures, model integration, workflow automation, and enterprise governance.
About the employer
Genesis10 is hiring for this role. Industry: Employment Placement Agencies. Sector: 56.
Additional details
- Industry sector
- 56
- Industry
- Employment Placement Agencies
- Occupation code
- 15-1299.08
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Listing ID: b3be2485-a70c-49d0-bfd2-2bf2e8a8b234